{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "T4"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Conditional GAN (C-GAN)\n",
        "Originally proposed by [Mirza et al.](https://arxiv.org/pdf/1411.1784.pdf) is their work titled Conditional Generative Adversarial Nets. This network uses a basic implementation where generator and discriminator models are MLPs with additional inputs for conditioning with class labels. This notebook trains both networks using ADAM optimizer to play the minimax game. We showcase the effectiveness using MNIST digit generation"
      ],
      "metadata": {
        "id": "8H_B753tYxv2"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Load Libraries"
      ],
      "metadata": {
        "id": "9-igPfE7Y3er"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "7yMBIyixRvAL"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "import numpy as np\n",
        "import math\n",
        "\n",
        "import torch\n",
        "import torch.nn as nn\n",
        "import torch.nn.functional as F\n",
        "\n",
        "from torchvision import datasets\n",
        "from torch.autograd import Variable\n",
        "from torch.utils.data import DataLoader\n",
        "\n",
        "from torchvision.utils import save_image\n",
        "import torchvision.transforms as transforms"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Set Parameters"
      ],
      "metadata": {
        "id": "7W3wpYeeY6CP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "CUDA = True if torch.cuda.is_available() else False"
      ],
      "metadata": {
        "id": "j8gZRPnASPTz"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "NUM_CHANNELS = 1\n",
        "N_CLASSES = 10\n",
        "IMG_DIM = 32\n",
        "BATCH_SIZE = 32\n",
        "Z_DIM = 100 # Noise Vector Dimension\n",
        "N_EPOCHS = 50\n",
        "SAMPLE_INTERVAL = 400\n",
        "IMG_SHAPE = (NUM_CHANNELS,IMG_DIM, IMG_DIM)"
      ],
      "metadata": {
        "id": "29JSgo0eSPRL"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Get MNIST Dataset"
      ],
      "metadata": {
        "id": "keCd0VpAY99L"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# create directory\n",
        "os.makedirs(\"images\", exist_ok=True)\n",
        "\n",
        "# download dataset\n",
        "dataloader = torch.utils.data.DataLoader(\n",
        "    datasets.MNIST(\n",
        "        \"data/mnist\",\n",
        "        train=True,\n",
        "        download=True,\n",
        "        transform=transforms.Compose(\n",
        "            [transforms.Resize(IMG_DIM), transforms.ToTensor(), transforms.Normalize([0.5], [0.5])]\n",
        "        ),\n",
        "    ),\n",
        "    batch_size=BATCH_SIZE,\n",
        "    shuffle=True,\n",
        ")"
      ],
      "metadata": {
        "id": "KvEpaf4bSPPE",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d8a8cf15-c230-4225-a495-115b0ba472e7"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz\n",
            "Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz to data/mnist/MNIST/raw/train-images-idx3-ubyte.gz\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 9912422/9912422 [00:00<00:00, 160656104.23it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Extracting data/mnist/MNIST/raw/train-images-idx3-ubyte.gz to data/mnist/MNIST/raw\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz\n",
            "Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz to data/mnist/MNIST/raw/train-labels-idx1-ubyte.gz\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 28881/28881 [00:00<00:00, 111133664.06it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Extracting data/mnist/MNIST/raw/train-labels-idx1-ubyte.gz to data/mnist/MNIST/raw\n",
            "\n",
            "Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz\n",
            "Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz to data/mnist/MNIST/raw/t10k-images-idx3-ubyte.gz\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 1648877/1648877 [00:00<00:00, 49227630.81it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Extracting data/mnist/MNIST/raw/t10k-images-idx3-ubyte.gz to data/mnist/MNIST/raw\n",
            "\n",
            "Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz\n",
            "Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz to data/mnist/MNIST/raw/t10k-labels-idx1-ubyte.gz\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 4542/4542 [00:00<00:00, 6303947.31it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Extracting data/mnist/MNIST/raw/t10k-labels-idx1-ubyte.gz to data/mnist/MNIST/raw\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Discriminator Model"
      ],
      "metadata": {
        "id": "zaWFycAJZAAf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "class Discriminator(nn.Module):\n",
        "    def __init__(self):\n",
        "        super(Discriminator, self).__init__()\n",
        "\n",
        "        self.label_embedding = nn.Embedding(N_CLASSES, N_CLASSES)\n",
        "\n",
        "        self.model = nn.Sequential(\n",
        "            nn.Linear(N_CLASSES + int(np.prod(IMG_SHAPE)), 512),\n",
        "            nn.LeakyReLU(0.2, inplace=True),\n",
        "            nn.Linear(512, 512),\n",
        "            nn.Dropout(0.4),\n",
        "            nn.LeakyReLU(0.2, inplace=True),\n",
        "            nn.Linear(512, 512),\n",
        "            nn.Dropout(0.4),\n",
        "            nn.LeakyReLU(0.2, inplace=True),\n",
        "            nn.Linear(512, 1),\n",
        "        )\n",
        "\n",
        "    def forward(self, img, labels):\n",
        "        # concatenate embedded label vector with image to get final input vector\n",
        "        input_vector = torch.cat(\n",
        "            (img.view(img.size(0), -1), self.label_embedding(labels)),\n",
        "            -1\n",
        "            )\n",
        "        validity = self.model(input_vector)\n",
        "        return validity"
      ],
      "metadata": {
        "id": "Jq1x5PCPSYsj"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Generator Model"
      ],
      "metadata": {
        "id": "X71ARLu-ZCSE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "class Generator(nn.Module):\n",
        "    def __init__(self):\n",
        "        super(Generator, self).__init__()\n",
        "\n",
        "        self.label_emb = nn.Embedding(N_CLASSES, N_CLASSES)\n",
        "\n",
        "        def block(in_feat_shape, out_feat_shape):\n",
        "            layers = [\n",
        "                nn.Linear(in_feat_shape, out_feat_shape),\n",
        "                nn.BatchNorm1d(out_feat_shape, 0.8),\n",
        "                nn.LeakyReLU(0.2, inplace=True)\n",
        "                ]\n",
        "            return layers\n",
        "\n",
        "        self.model = nn.Sequential(\n",
        "            *block(N_CLASSES + Z_DIM, 128),\n",
        "            *block(128, 256),\n",
        "            *block(256, 512),\n",
        "            *block(512, 1024),\n",
        "            nn.Linear(1024, int(np.prod(IMG_SHAPE))),\n",
        "            nn.Tanh()\n",
        "        )\n",
        "\n",
        "    def forward(self, z_vector, labels):\n",
        "        # concatenate embedded label vector with image to get final input vector\n",
        "        input_vector = torch.cat((z_vector,self.label_emb(labels)), -1)\n",
        "        img = self.model(input_vector)\n",
        "        img = img.view(img.size(0), *IMG_SHAPE)\n",
        "        return img"
      ],
      "metadata": {
        "id": "p7D_fl5sSYpm"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Attach Loss & Optimizers"
      ],
      "metadata": {
        "id": "TTwvoA4lZE0h"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Initialize generator and discriminator\n",
        "generator = Generator()\n",
        "discriminator = Discriminator()\n",
        "\n",
        "# Loss function\n",
        "adversarial_loss = torch.nn.MSELoss()\n",
        "\n",
        "# Optimizers\n",
        "optimizer_G = torch.optim.Adam(generator.parameters(), lr=0.0002, betas=(0.5, 0.999))\n",
        "optimizer_D = torch.optim.Adam(discriminator.parameters(), lr=0.0002, betas=(0.5, 0.999))"
      ],
      "metadata": {
        "id": "d7-iVLEPSPL7"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "if CUDA:\n",
        "  generator.cuda()\n",
        "  discriminator.cuda()\n",
        "  adversarial_loss.cuda()\n",
        "\n",
        "  Tensor = torch.cuda.FloatTensor\n",
        "  LongTensor = torch.cuda.LongTensor\n",
        "else:\n",
        "  Tensor = torch.FloatTensor\n",
        "  LongTensor = torch.LongTensor"
      ],
      "metadata": {
        "id": "06trWlOjT2Da"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def save_cgan_images(n_row, batches_done):\n",
        "    \"\"\"Saves a grid of generated digits ranging from 0 to n_classes\"\"\"\n",
        "    # Sample noise\n",
        "    z = Variable(Tensor(np.random.normal(0, 1, (n_row ** 2, Z_DIM))))\n",
        "    # Get labels ranging from 0 to n_classes for n rows\n",
        "    labels = np.array([num for _ in range(n_row) for num in range(n_row)])\n",
        "    labels = Variable(LongTensor(labels))\n",
        "    gen_imgs = generator(z, labels)\n",
        "    save_image(gen_imgs.data, f\"images/{batches_done}.png\", nrow=n_row, normalize=True)"
      ],
      "metadata": {
        "id": "Y8avKHgMWyLm"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Train C-GAN"
      ],
      "metadata": {
        "id": "8beoGPSrZIDB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "for epoch in range(N_EPOCHS):\n",
        "    for i, (imgs, labels) in enumerate(dataloader):\n",
        "\n",
        "        # Set Real and Fake Labels\n",
        "        valid = Variable(Tensor(BATCH_SIZE, 1).fill_(1.0), requires_grad=False)\n",
        "        fake = Variable(Tensor(BATCH_SIZE, 1).fill_(0.0), requires_grad=False)\n",
        "\n",
        "        # Set Variable for real images\n",
        "        real_imgs = Variable(imgs.type(Tensor))\n",
        "        labels = Variable(labels.type(LongTensor))\n",
        "        #  Train Generator\n",
        "        optimizer_G.zero_grad()\n",
        "\n",
        "        # Sample noise vector z for generator\n",
        "        z = Variable(Tensor(np.random.normal(0, 1, (BATCH_SIZE, Z_DIM))))\n",
        "        gen_labels = Variable(LongTensor(np.random.randint(0, N_CLASSES, BATCH_SIZE)))\n",
        "\n",
        "        # get generator output\n",
        "        gen_imgs = generator(z,gen_labels)\n",
        "\n",
        "        # Calculate and update generator loss\n",
        "        g_loss = adversarial_loss(discriminator(gen_imgs,gen_labels), valid)\n",
        "        g_loss.backward()\n",
        "        optimizer_G.step()\n",
        "\n",
        "        #  Train Discriminator\n",
        "        optimizer_D.zero_grad()\n",
        "\n",
        "        # Calculate Discriminator loss over Fake and Real Samples\n",
        "        real_loss = adversarial_loss(discriminator(real_imgs,labels), valid)\n",
        "        fake_loss = adversarial_loss(discriminator(gen_imgs.detach(),gen_labels), fake)\n",
        "        d_loss = (real_loss + fake_loss) / 2\n",
        "\n",
        "        # Update Discriminator loss\n",
        "        d_loss.backward()\n",
        "        optimizer_D.step()\n",
        "        print(f'Epoch: {epoch}/{N_EPOCHS}-Batch: {i}/{len(dataloader)}--D.loss:{d_loss.item():.4f},G.loss:{g_loss.item():.4f}')\n",
        "\n",
        "        batches_done = epoch * len(dataloader) + i\n",
        "        if batches_done % SAMPLE_INTERVAL == 0:\n",
        "            save_cgan_images(n_row=10, batches_done=batches_done)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Jx2pu3PXUIul",
        "outputId": "c48d164a-e3f1-42af-8071-813627c717bb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            "Epoch: 0/50-Batch: 638/1875--D.loss:0.2902,G.loss:0.1113\n",
            "Epoch: 0/50-Batch: 639/1875--D.loss:0.1782,G.loss:1.0785\n",
            "Epoch: 0/50-Batch: 640/1875--D.loss:0.1173,G.loss:0.5102\n",
            "Epoch: 0/50-Batch: 641/1875--D.loss:0.1421,G.loss:0.3519\n",
            "Epoch: 0/50-Batch: 642/1875--D.loss:0.1122,G.loss:0.4826\n",
            "Epoch: 0/50-Batch: 643/1875--D.loss:0.1146,G.loss:0.7084\n",
            "Epoch: 0/50-Batch: 644/1875--D.loss:0.1065,G.loss:0.4925\n",
            "Epoch: 0/50-Batch: 645/1875--D.loss:0.0992,G.loss:0.5769\n",
            "Epoch: 0/50-Batch: 646/1875--D.loss:0.0815,G.loss:0.6735\n",
            "Epoch: 0/50-Batch: 647/1875--D.loss:0.0577,G.loss:0.8077\n",
            "Epoch: 0/50-Batch: 648/1875--D.loss:0.0917,G.loss:0.5197\n",
            "Epoch: 0/50-Batch: 649/1875--D.loss:0.0948,G.loss:0.6811\n",
            "Epoch: 0/50-Batch: 650/1875--D.loss:0.0868,G.loss:0.5531\n",
            "Epoch: 0/50-Batch: 651/1875--D.loss:0.0973,G.loss:0.7173\n",
            "Epoch: 0/50-Batch: 652/1875--D.loss:0.2410,G.loss:0.1671\n",
            "Epoch: 0/50-Batch: 653/1875--D.loss:0.4884,G.loss:2.0836\n",
            "Epoch: 0/50-Batch: 654/1875--D.loss:0.4391,G.loss:0.0556\n",
            "Epoch: 0/50-Batch: 655/1875--D.loss:0.1371,G.loss:0.4479\n",
            "Epoch: 0/50-Batch: 656/1875--D.loss:0.1574,G.loss:0.6875\n",
            "Epoch: 0/50-Batch: 657/1875--D.loss:0.1441,G.loss:0.5684\n",
            "Epoch: 0/50-Batch: 658/1875--D.loss:0.1452,G.loss:0.4489\n",
            "Epoch: 0/50-Batch: 659/1875--D.loss:0.1256,G.loss:0.4057\n",
            "Epoch: 0/50-Batch: 660/1875--D.loss:0.1117,G.loss:0.4910\n",
            "Epoch: 0/50-Batch: 661/1875--D.loss:0.0893,G.loss:0.5776\n",
            "Epoch: 0/50-Batch: 662/1875--D.loss:0.0814,G.loss:0.5451\n",
            "Epoch: 0/50-Batch: 663/1875--D.loss:0.0933,G.loss:0.5288\n",
            "Epoch: 0/50-Batch: 664/1875--D.loss:0.0890,G.loss:0.5754\n",
            "Epoch: 0/50-Batch: 665/1875--D.loss:0.0607,G.loss:0.6584\n",
            "Epoch: 0/50-Batch: 666/1875--D.loss:0.0781,G.loss:0.6960\n",
            "Epoch: 0/50-Batch: 667/1875--D.loss:0.0851,G.loss:0.5891\n",
            "Epoch: 0/50-Batch: 668/1875--D.loss:0.0699,G.loss:0.6090\n",
            "Epoch: 0/50-Batch: 669/1875--D.loss:0.0787,G.loss:0.7230\n",
            "Epoch: 0/50-Batch: 670/1875--D.loss:0.0864,G.loss:0.5121\n",
            "Epoch: 0/50-Batch: 671/1875--D.loss:0.0914,G.loss:0.7041\n",
            "Epoch: 0/50-Batch: 672/1875--D.loss:0.1102,G.loss:0.5574\n",
            "Epoch: 0/50-Batch: 673/1875--D.loss:0.0919,G.loss:0.6272\n",
            "Epoch: 0/50-Batch: 674/1875--D.loss:0.0755,G.loss:0.6580\n",
            "Epoch: 0/50-Batch: 675/1875--D.loss:0.1192,G.loss:0.5799\n",
            "Epoch: 0/50-Batch: 676/1875--D.loss:0.1222,G.loss:0.3456\n",
            "Epoch: 0/50-Batch: 677/1875--D.loss:0.2198,G.loss:1.3052\n",
            "Epoch: 0/50-Batch: 678/1875--D.loss:0.3393,G.loss:0.0823\n",
            "Epoch: 0/50-Batch: 679/1875--D.loss:0.1638,G.loss:0.9928\n",
            "Epoch: 0/50-Batch: 680/1875--D.loss:0.1028,G.loss:0.6023\n",
            "Epoch: 0/50-Batch: 681/1875--D.loss:0.1185,G.loss:0.3720\n",
            "Epoch: 0/50-Batch: 682/1875--D.loss:0.1026,G.loss:0.5167\n",
            "Epoch: 0/50-Batch: 683/1875--D.loss:0.0971,G.loss:0.6146\n",
            "Epoch: 0/50-Batch: 684/1875--D.loss:0.1033,G.loss:0.5870\n",
            "Epoch: 0/50-Batch: 685/1875--D.loss:0.1058,G.loss:0.4120\n",
            "Epoch: 0/50-Batch: 686/1875--D.loss:0.1086,G.loss:0.6295\n",
            "Epoch: 0/50-Batch: 687/1875--D.loss:0.0838,G.loss:0.6620\n",
            "Epoch: 0/50-Batch: 688/1875--D.loss:0.0881,G.loss:0.5889\n",
            "Epoch: 0/50-Batch: 689/1875--D.loss:0.1000,G.loss:0.7499\n",
            "Epoch: 0/50-Batch: 690/1875--D.loss:0.0781,G.loss:0.4780\n",
            "Epoch: 0/50-Batch: 691/1875--D.loss:0.0742,G.loss:0.7721\n",
            "Epoch: 0/50-Batch: 692/1875--D.loss:0.1066,G.loss:0.6010\n",
            "Epoch: 0/50-Batch: 693/1875--D.loss:0.1027,G.loss:0.4273\n",
            "Epoch: 0/50-Batch: 694/1875--D.loss:0.0982,G.loss:0.6735\n",
            "Epoch: 0/50-Batch: 695/1875--D.loss:0.0896,G.loss:0.5126\n",
            "Epoch: 0/50-Batch: 696/1875--D.loss:0.1111,G.loss:0.7238\n",
            "Epoch: 0/50-Batch: 697/1875--D.loss:0.1179,G.loss:0.4371\n",
            "Epoch: 0/50-Batch: 698/1875--D.loss:0.0939,G.loss:0.7889\n",
            "Epoch: 0/50-Batch: 699/1875--D.loss:0.1171,G.loss:0.4373\n",
            "Epoch: 0/50-Batch: 700/1875--D.loss:0.1811,G.loss:0.9547\n",
            "Epoch: 0/50-Batch: 701/1875--D.loss:0.3646,G.loss:0.0602\n",
            "Epoch: 0/50-Batch: 702/1875--D.loss:0.4242,G.loss:1.6711\n",
            "Epoch: 0/50-Batch: 703/1875--D.loss:0.2083,G.loss:0.2288\n",
            "Epoch: 0/50-Batch: 704/1875--D.loss:0.1841,G.loss:0.2818\n",
            "Epoch: 0/50-Batch: 705/1875--D.loss:0.1083,G.loss:0.5175\n",
            "Epoch: 0/50-Batch: 706/1875--D.loss:0.1506,G.loss:0.6255\n",
            "Epoch: 0/50-Batch: 707/1875--D.loss:0.1261,G.loss:0.5519\n",
            "Epoch: 0/50-Batch: 708/1875--D.loss:0.1137,G.loss:0.3807\n",
            "Epoch: 0/50-Batch: 709/1875--D.loss:0.1262,G.loss:0.5087\n",
            "Epoch: 0/50-Batch: 710/1875--D.loss:0.0881,G.loss:0.5999\n",
            "Epoch: 0/50-Batch: 711/1875--D.loss:0.0903,G.loss:0.6386\n",
            "Epoch: 0/50-Batch: 712/1875--D.loss:0.1069,G.loss:0.5488\n",
            "Epoch: 0/50-Batch: 713/1875--D.loss:0.0677,G.loss:0.5482\n",
            "Epoch: 0/50-Batch: 714/1875--D.loss:0.0717,G.loss:0.7437\n",
            "Epoch: 0/50-Batch: 715/1875--D.loss:0.0791,G.loss:0.5853\n",
            "Epoch: 0/50-Batch: 716/1875--D.loss:0.0973,G.loss:0.5836\n",
            "Epoch: 0/50-Batch: 717/1875--D.loss:0.0871,G.loss:0.6600\n",
            "Epoch: 0/50-Batch: 718/1875--D.loss:0.0784,G.loss:0.6482\n",
            "Epoch: 0/50-Batch: 719/1875--D.loss:0.0737,G.loss:0.5663\n",
            "Epoch: 0/50-Batch: 720/1875--D.loss:0.0815,G.loss:0.6292\n",
            "Epoch: 0/50-Batch: 721/1875--D.loss:0.1090,G.loss:0.7863\n",
            "Epoch: 0/50-Batch: 722/1875--D.loss:0.1152,G.loss:0.3557\n",
            "Epoch: 0/50-Batch: 723/1875--D.loss:0.1764,G.loss:0.9883\n",
            "Epoch: 0/50-Batch: 724/1875--D.loss:0.1765,G.loss:0.2597\n",
            "Epoch: 0/50-Batch: 725/1875--D.loss:0.1586,G.loss:0.9087\n",
            "Epoch: 0/50-Batch: 726/1875--D.loss:0.1059,G.loss:0.4699\n",
            "Epoch: 0/50-Batch: 727/1875--D.loss:0.0972,G.loss:0.4054\n",
            "Epoch: 0/50-Batch: 728/1875--D.loss:0.0976,G.loss:0.8524\n",
            "Epoch: 0/50-Batch: 729/1875--D.loss:0.0914,G.loss:0.5923\n",
            "Epoch: 0/50-Batch: 730/1875--D.loss:0.0898,G.loss:0.4510\n",
            "Epoch: 0/50-Batch: 731/1875--D.loss:0.0919,G.loss:0.6480\n",
            "Epoch: 0/50-Batch: 732/1875--D.loss:0.0843,G.loss:0.7142\n",
            "Epoch: 0/50-Batch: 733/1875--D.loss:0.1089,G.loss:0.4505\n",
            "Epoch: 0/50-Batch: 734/1875--D.loss:0.1475,G.loss:0.9241\n",
            "Epoch: 0/50-Batch: 735/1875--D.loss:0.0926,G.loss:0.3960\n",
            "Epoch: 0/50-Batch: 736/1875--D.loss:0.0870,G.loss:0.5523\n",
            "Epoch: 0/50-Batch: 737/1875--D.loss:0.0858,G.loss:0.6283\n",
            "Epoch: 0/50-Batch: 738/1875--D.loss:0.1047,G.loss:0.5411\n",
            "Epoch: 0/50-Batch: 739/1875--D.loss:0.0734,G.loss:0.7202\n",
            "Epoch: 0/50-Batch: 740/1875--D.loss:0.0864,G.loss:0.6631\n",
            "Epoch: 0/50-Batch: 741/1875--D.loss:0.1080,G.loss:0.5911\n",
            "Epoch: 0/50-Batch: 742/1875--D.loss:0.0813,G.loss:0.8402\n",
            "Epoch: 0/50-Batch: 743/1875--D.loss:0.1180,G.loss:0.4225\n",
            "Epoch: 0/50-Batch: 744/1875--D.loss:0.1153,G.loss:0.7053\n",
            "Epoch: 0/50-Batch: 745/1875--D.loss:0.1060,G.loss:0.4385\n",
            "Epoch: 0/50-Batch: 746/1875--D.loss:0.1296,G.loss:0.8368\n",
            "Epoch: 0/50-Batch: 747/1875--D.loss:0.1729,G.loss:0.2270\n",
            "Epoch: 0/50-Batch: 748/1875--D.loss:0.3681,G.loss:1.8137\n",
            "Epoch: 0/50-Batch: 749/1875--D.loss:0.4165,G.loss:0.0481\n",
            "Epoch: 0/50-Batch: 750/1875--D.loss:0.0981,G.loss:0.5945\n",
            "Epoch: 0/50-Batch: 751/1875--D.loss:0.2071,G.loss:0.9429\n",
            "Epoch: 0/50-Batch: 752/1875--D.loss:0.1424,G.loss:0.4915\n",
            "Epoch: 0/50-Batch: 753/1875--D.loss:0.1329,G.loss:0.3407\n",
            "Epoch: 0/50-Batch: 754/1875--D.loss:0.0968,G.loss:0.5265\n",
            "Epoch: 0/50-Batch: 755/1875--D.loss:0.1076,G.loss:0.6854\n",
            "Epoch: 0/50-Batch: 756/1875--D.loss:0.0795,G.loss:0.6462\n",
            "Epoch: 0/50-Batch: 757/1875--D.loss:0.0867,G.loss:0.5169\n",
            "Epoch: 0/50-Batch: 758/1875--D.loss:0.0836,G.loss:0.5237\n",
            "Epoch: 0/50-Batch: 759/1875--D.loss:0.0501,G.loss:0.6691\n",
            "Epoch: 0/50-Batch: 760/1875--D.loss:0.0843,G.loss:0.7820\n",
            "Epoch: 0/50-Batch: 761/1875--D.loss:0.0752,G.loss:0.5580\n",
            "Epoch: 0/50-Batch: 762/1875--D.loss:0.0909,G.loss:0.6818\n",
            "Epoch: 0/50-Batch: 763/1875--D.loss:0.0765,G.loss:0.5843\n",
            "Epoch: 0/50-Batch: 764/1875--D.loss:0.0919,G.loss:0.5206\n",
            "Epoch: 0/50-Batch: 765/1875--D.loss:0.1134,G.loss:0.7600\n",
            "Epoch: 0/50-Batch: 766/1875--D.loss:0.1309,G.loss:0.4387\n",
            "Epoch: 0/50-Batch: 767/1875--D.loss:0.1309,G.loss:0.8197\n",
            "Epoch: 0/50-Batch: 768/1875--D.loss:0.1462,G.loss:0.3047\n",
            "Epoch: 0/50-Batch: 769/1875--D.loss:0.1107,G.loss:0.7163\n",
            "Epoch: 0/50-Batch: 770/1875--D.loss:0.0854,G.loss:0.5225\n",
            "Epoch: 0/50-Batch: 771/1875--D.loss:0.0910,G.loss:0.7521\n",
            "Epoch: 0/50-Batch: 772/1875--D.loss:0.0788,G.loss:0.6314\n",
            "Epoch: 0/50-Batch: 773/1875--D.loss:0.0768,G.loss:0.6131\n",
            "Epoch: 0/50-Batch: 774/1875--D.loss:0.0711,G.loss:0.7035\n",
            "Epoch: 0/50-Batch: 775/1875--D.loss:0.0896,G.loss:0.5143\n",
            "Epoch: 0/50-Batch: 776/1875--D.loss:0.1355,G.loss:1.0904\n",
            "Epoch: 0/50-Batch: 777/1875--D.loss:0.3793,G.loss:0.0597\n",
            "Epoch: 0/50-Batch: 778/1875--D.loss:0.6389,G.loss:2.2949\n",
            "Epoch: 0/50-Batch: 779/1875--D.loss:0.1949,G.loss:0.2368\n",
            "Epoch: 0/50-Batch: 780/1875--D.loss:0.1847,G.loss:0.2403\n",
            "Epoch: 0/50-Batch: 781/1875--D.loss:0.1153,G.loss:0.6042\n",
            "Epoch: 0/50-Batch: 782/1875--D.loss:0.1107,G.loss:0.6886\n",
            "Epoch: 0/50-Batch: 783/1875--D.loss:0.0967,G.loss:0.5861\n",
            "Epoch: 0/50-Batch: 784/1875--D.loss:0.0739,G.loss:0.4934\n",
            "Epoch: 0/50-Batch: 785/1875--D.loss:0.0792,G.loss:0.5395\n",
            "Epoch: 0/50-Batch: 786/1875--D.loss:0.0694,G.loss:0.7373\n",
            "Epoch: 0/50-Batch: 787/1875--D.loss:0.0586,G.loss:0.6718\n",
            "Epoch: 0/50-Batch: 788/1875--D.loss:0.0623,G.loss:0.6307\n",
            "Epoch: 0/50-Batch: 789/1875--D.loss:0.0712,G.loss:0.5851\n",
            "Epoch: 0/50-Batch: 790/1875--D.loss:0.0685,G.loss:0.6659\n",
            "Epoch: 0/50-Batch: 791/1875--D.loss:0.0624,G.loss:0.6183\n",
            "Epoch: 0/50-Batch: 792/1875--D.loss:0.0590,G.loss:0.6378\n",
            "Epoch: 0/50-Batch: 793/1875--D.loss:0.0848,G.loss:0.5820\n",
            "Epoch: 0/50-Batch: 794/1875--D.loss:0.0822,G.loss:0.5386\n",
            "Epoch: 0/50-Batch: 795/1875--D.loss:0.0858,G.loss:0.6702\n",
            "Epoch: 0/50-Batch: 796/1875--D.loss:0.1089,G.loss:0.5219\n",
            "Epoch: 0/50-Batch: 797/1875--D.loss:0.1106,G.loss:0.5090\n",
            "Epoch: 0/50-Batch: 798/1875--D.loss:0.1109,G.loss:0.7339\n",
            "Epoch: 0/50-Batch: 799/1875--D.loss:0.1309,G.loss:0.3926\n",
            "Epoch: 0/50-Batch: 800/1875--D.loss:0.0767,G.loss:0.7699\n",
            "Epoch: 0/50-Batch: 801/1875--D.loss:0.0922,G.loss:0.5616\n",
            "Epoch: 0/50-Batch: 802/1875--D.loss:0.1011,G.loss:0.5698\n",
            "Epoch: 0/50-Batch: 803/1875--D.loss:0.0929,G.loss:0.6908\n",
            "Epoch: 0/50-Batch: 804/1875--D.loss:0.1061,G.loss:0.3505\n",
            "Epoch: 0/50-Batch: 805/1875--D.loss:0.1356,G.loss:1.1100\n",
            "Epoch: 0/50-Batch: 806/1875--D.loss:0.2788,G.loss:0.1542\n",
            "Epoch: 0/50-Batch: 807/1875--D.loss:0.3361,G.loss:1.3494\n",
            "Epoch: 0/50-Batch: 808/1875--D.loss:0.2053,G.loss:0.2444\n",
            "Epoch: 0/50-Batch: 809/1875--D.loss:0.1284,G.loss:0.3648\n",
            "Epoch: 0/50-Batch: 810/1875--D.loss:0.1116,G.loss:0.8229\n",
            "Epoch: 0/50-Batch: 811/1875--D.loss:0.1181,G.loss:0.6154\n",
            "Epoch: 0/50-Batch: 812/1875--D.loss:0.1188,G.loss:0.3597\n",
            "Epoch: 0/50-Batch: 813/1875--D.loss:0.0856,G.loss:0.5635\n",
            "Epoch: 0/50-Batch: 814/1875--D.loss:0.0737,G.loss:0.7667\n",
            "Epoch: 0/50-Batch: 815/1875--D.loss:0.0893,G.loss:0.6148\n",
            "Epoch: 0/50-Batch: 816/1875--D.loss:0.1004,G.loss:0.4679\n",
            "Epoch: 0/50-Batch: 817/1875--D.loss:0.0923,G.loss:0.5450\n",
            "Epoch: 0/50-Batch: 818/1875--D.loss:0.0869,G.loss:0.6631\n",
            "Epoch: 0/50-Batch: 819/1875--D.loss:0.0997,G.loss:0.6217\n",
            "Epoch: 0/50-Batch: 820/1875--D.loss:0.0868,G.loss:0.5534\n",
            "Epoch: 0/50-Batch: 821/1875--D.loss:0.1055,G.loss:0.6089\n",
            "Epoch: 0/50-Batch: 822/1875--D.loss:0.0934,G.loss:0.5205\n",
            "Epoch: 0/50-Batch: 823/1875--D.loss:0.1310,G.loss:0.4298\n",
            "Epoch: 0/50-Batch: 824/1875--D.loss:0.1146,G.loss:0.8372\n",
            "Epoch: 0/50-Batch: 825/1875--D.loss:0.1755,G.loss:0.2580\n",
            "Epoch: 0/50-Batch: 826/1875--D.loss:0.1942,G.loss:1.1433\n",
            "Epoch: 0/50-Batch: 827/1875--D.loss:0.1659,G.loss:0.2406\n",
            "Epoch: 0/50-Batch: 828/1875--D.loss:0.1024,G.loss:0.6503\n",
            "Epoch: 0/50-Batch: 829/1875--D.loss:0.1017,G.loss:0.7230\n",
            "Epoch: 0/50-Batch: 830/1875--D.loss:0.0970,G.loss:0.5438\n",
            "Epoch: 0/50-Batch: 831/1875--D.loss:0.1033,G.loss:0.4733\n",
            "Epoch: 0/50-Batch: 832/1875--D.loss:0.0794,G.loss:0.9646\n",
            "Epoch: 0/50-Batch: 833/1875--D.loss:0.0724,G.loss:0.4947\n",
            "Epoch: 0/50-Batch: 834/1875--D.loss:0.0677,G.loss:0.7688\n",
            "Epoch: 0/50-Batch: 835/1875--D.loss:0.0783,G.loss:0.6532\n",
            "Epoch: 0/50-Batch: 836/1875--D.loss:0.0977,G.loss:0.5230\n",
            "Epoch: 0/50-Batch: 837/1875--D.loss:0.1038,G.loss:0.7798\n",
            "Epoch: 0/50-Batch: 838/1875--D.loss:0.1183,G.loss:0.2845\n",
            "Epoch: 0/50-Batch: 839/1875--D.loss:0.1470,G.loss:1.0134\n",
            "Epoch: 0/50-Batch: 840/1875--D.loss:0.2490,G.loss:0.1267\n",
            "Epoch: 0/50-Batch: 841/1875--D.loss:0.2910,G.loss:1.3488\n",
            "Epoch: 0/50-Batch: 842/1875--D.loss:0.2518,G.loss:0.1387\n",
            "Epoch: 0/50-Batch: 843/1875--D.loss:0.1104,G.loss:0.5441\n",
            "Epoch: 0/50-Batch: 844/1875--D.loss:0.1012,G.loss:0.8292\n",
            "Epoch: 0/50-Batch: 845/1875--D.loss:0.1121,G.loss:0.6123\n",
            "Epoch: 0/50-Batch: 846/1875--D.loss:0.0940,G.loss:0.4405\n",
            "Epoch: 0/50-Batch: 847/1875--D.loss:0.0705,G.loss:0.7882\n",
            "Epoch: 0/50-Batch: 848/1875--D.loss:0.0761,G.loss:0.6631\n",
            "Epoch: 0/50-Batch: 849/1875--D.loss:0.0810,G.loss:0.4950\n",
            "Epoch: 0/50-Batch: 850/1875--D.loss:0.0877,G.loss:0.5787\n",
            "Epoch: 0/50-Batch: 851/1875--D.loss:0.0700,G.loss:0.6997\n",
            "Epoch: 0/50-Batch: 852/1875--D.loss:0.1079,G.loss:0.6171\n",
            "Epoch: 0/50-Batch: 853/1875--D.loss:0.0924,G.loss:0.4774\n",
            "Epoch: 0/50-Batch: 854/1875--D.loss:0.1202,G.loss:0.6568\n",
            "Epoch: 0/50-Batch: 855/1875--D.loss:0.1005,G.loss:0.4567\n",
            "Epoch: 0/50-Batch: 856/1875--D.loss:0.1056,G.loss:0.5778\n",
            "Epoch: 0/50-Batch: 857/1875--D.loss:0.0964,G.loss:0.6051\n",
            "Epoch: 0/50-Batch: 858/1875--D.loss:0.0905,G.loss:0.4720\n",
            "Epoch: 0/50-Batch: 859/1875--D.loss:0.0873,G.loss:0.8709\n",
            "Epoch: 0/50-Batch: 860/1875--D.loss:0.0907,G.loss:0.4451\n",
            "Epoch: 0/50-Batch: 861/1875--D.loss:0.0670,G.loss:0.6689\n",
            "Epoch: 0/50-Batch: 862/1875--D.loss:0.0857,G.loss:0.7317\n",
            "Epoch: 0/50-Batch: 863/1875--D.loss:0.0926,G.loss:0.5105\n",
            "Epoch: 0/50-Batch: 864/1875--D.loss:0.1007,G.loss:0.7683\n",
            "Epoch: 0/50-Batch: 865/1875--D.loss:0.0965,G.loss:0.5028\n",
            "Epoch: 0/50-Batch: 866/1875--D.loss:0.1037,G.loss:0.7522\n",
            "Epoch: 0/50-Batch: 867/1875--D.loss:0.0923,G.loss:0.4305\n",
            "Epoch: 0/50-Batch: 868/1875--D.loss:0.1612,G.loss:1.0512\n",
            "Epoch: 0/50-Batch: 869/1875--D.loss:0.2191,G.loss:0.1987\n",
            "Epoch: 0/50-Batch: 870/1875--D.loss:0.1767,G.loss:1.2814\n",
            "Epoch: 0/50-Batch: 871/1875--D.loss:0.1124,G.loss:0.4780\n",
            "Epoch: 0/50-Batch: 872/1875--D.loss:0.0942,G.loss:0.4717\n",
            "Epoch: 0/50-Batch: 873/1875--D.loss:0.0855,G.loss:0.7809\n",
            "Epoch: 0/50-Batch: 874/1875--D.loss:0.0766,G.loss:0.7593\n",
            "Epoch: 0/50-Batch: 875/1875--D.loss:0.0864,G.loss:0.5295\n",
            "Epoch: 0/50-Batch: 876/1875--D.loss:0.0676,G.loss:0.7179\n",
            "Epoch: 0/50-Batch: 877/1875--D.loss:0.0831,G.loss:0.7080\n",
            "Epoch: 0/50-Batch: 878/1875--D.loss:0.0892,G.loss:0.5972\n",
            "Epoch: 0/50-Batch: 879/1875--D.loss:0.0921,G.loss:0.5003\n",
            "Epoch: 0/50-Batch: 880/1875--D.loss:0.1663,G.loss:0.9950\n",
            "Epoch: 0/50-Batch: 881/1875--D.loss:0.1402,G.loss:0.2720\n",
            "Epoch: 0/50-Batch: 882/1875--D.loss:0.1150,G.loss:0.9536\n",
            "Epoch: 0/50-Batch: 883/1875--D.loss:0.0940,G.loss:0.5737\n",
            "Epoch: 0/50-Batch: 884/1875--D.loss:0.0988,G.loss:0.4222\n",
            "Epoch: 0/50-Batch: 885/1875--D.loss:0.0985,G.loss:0.8446\n",
            "Epoch: 0/50-Batch: 886/1875--D.loss:0.1203,G.loss:0.4081\n",
            "Epoch: 0/50-Batch: 887/1875--D.loss:0.1080,G.loss:0.9444\n",
            "Epoch: 0/50-Batch: 888/1875--D.loss:0.0940,G.loss:0.5827\n",
            "Epoch: 0/50-Batch: 889/1875--D.loss:0.1270,G.loss:0.3008\n",
            "Epoch: 0/50-Batch: 890/1875--D.loss:0.1134,G.loss:0.9768\n",
            "Epoch: 0/50-Batch: 891/1875--D.loss:0.0733,G.loss:0.6578\n",
            "Epoch: 0/50-Batch: 892/1875--D.loss:0.0973,G.loss:0.4655\n",
            "Epoch: 0/50-Batch: 893/1875--D.loss:0.1086,G.loss:0.6966\n",
            "Epoch: 0/50-Batch: 894/1875--D.loss:0.0923,G.loss:0.5092\n",
            "Epoch: 0/50-Batch: 895/1875--D.loss:0.0659,G.loss:0.6719\n",
            "Epoch: 0/50-Batch: 896/1875--D.loss:0.0709,G.loss:0.6395\n",
            "Epoch: 0/50-Batch: 897/1875--D.loss:0.0667,G.loss:0.8775\n",
            "Epoch: 0/50-Batch: 898/1875--D.loss:0.0647,G.loss:0.8423\n",
            "Epoch: 0/50-Batch: 899/1875--D.loss:0.1019,G.loss:0.4984\n",
            "Epoch: 0/50-Batch: 900/1875--D.loss:0.1157,G.loss:0.8383\n",
            "Epoch: 0/50-Batch: 901/1875--D.loss:0.1822,G.loss:0.2598\n",
            "Epoch: 0/50-Batch: 902/1875--D.loss:0.2627,G.loss:1.3509\n",
            "Epoch: 0/50-Batch: 903/1875--D.loss:0.2828,G.loss:0.1456\n",
            "Epoch: 0/50-Batch: 904/1875--D.loss:0.1237,G.loss:0.7930\n",
            "Epoch: 0/50-Batch: 905/1875--D.loss:0.1186,G.loss:0.8483\n",
            "Epoch: 0/50-Batch: 906/1875--D.loss:0.0966,G.loss:0.4520\n",
            "Epoch: 0/50-Batch: 907/1875--D.loss:0.0903,G.loss:0.4710\n",
            "Epoch: 0/50-Batch: 908/1875--D.loss:0.0988,G.loss:0.6618\n",
            "Epoch: 0/50-Batch: 909/1875--D.loss:0.0849,G.loss:0.6072\n",
            "Epoch: 0/50-Batch: 910/1875--D.loss:0.1019,G.loss:0.5621\n",
            "Epoch: 0/50-Batch: 911/1875--D.loss:0.0827,G.loss:0.5269\n",
            "Epoch: 0/50-Batch: 912/1875--D.loss:0.0841,G.loss:0.6304\n",
            "Epoch: 0/50-Batch: 913/1875--D.loss:0.0942,G.loss:0.7333\n",
            "Epoch: 0/50-Batch: 914/1875--D.loss:0.0872,G.loss:0.4225\n",
            "Epoch: 0/50-Batch: 915/1875--D.loss:0.1044,G.loss:0.6330\n",
            "Epoch: 0/50-Batch: 916/1875--D.loss:0.1136,G.loss:0.4751\n",
            "Epoch: 0/50-Batch: 917/1875--D.loss:0.0973,G.loss:0.8270\n",
            "Epoch: 0/50-Batch: 918/1875--D.loss:0.0897,G.loss:0.7271\n",
            "Epoch: 0/50-Batch: 919/1875--D.loss:0.1324,G.loss:0.3569\n",
            "Epoch: 0/50-Batch: 920/1875--D.loss:0.1343,G.loss:0.8731\n",
            "Epoch: 0/50-Batch: 921/1875--D.loss:0.1184,G.loss:0.4364\n",
            "Epoch: 0/50-Batch: 922/1875--D.loss:0.1090,G.loss:0.4465\n",
            "Epoch: 0/50-Batch: 923/1875--D.loss:0.1204,G.loss:0.8804\n",
            "Epoch: 0/50-Batch: 924/1875--D.loss:0.1423,G.loss:0.3360\n",
            "Epoch: 0/50-Batch: 925/1875--D.loss:0.1351,G.loss:0.8169\n",
            "Epoch: 0/50-Batch: 926/1875--D.loss:0.1105,G.loss:0.4216\n",
            "Epoch: 0/50-Batch: 927/1875--D.loss:0.1071,G.loss:0.9372\n",
            "Epoch: 0/50-Batch: 928/1875--D.loss:0.0910,G.loss:0.5620\n",
            "Epoch: 0/50-Batch: 929/1875--D.loss:0.1065,G.loss:0.4638\n",
            "Epoch: 0/50-Batch: 930/1875--D.loss:0.0860,G.loss:0.6967\n",
            "Epoch: 0/50-Batch: 931/1875--D.loss:0.1009,G.loss:0.5342\n",
            "Epoch: 0/50-Batch: 932/1875--D.loss:0.1028,G.loss:0.4813\n",
            "Epoch: 0/50-Batch: 933/1875--D.loss:0.0952,G.loss:0.8361\n",
            "Epoch: 0/50-Batch: 934/1875--D.loss:0.0756,G.loss:0.5152\n",
            "Epoch: 0/50-Batch: 935/1875--D.loss:0.0960,G.loss:0.7937\n",
            "Epoch: 0/50-Batch: 936/1875--D.loss:0.0978,G.loss:0.4188\n",
            "Epoch: 0/50-Batch: 937/1875--D.loss:0.1034,G.loss:0.7844\n",
            "Epoch: 0/50-Batch: 938/1875--D.loss:0.0838,G.loss:0.5191\n",
            "Epoch: 0/50-Batch: 939/1875--D.loss:0.1362,G.loss:0.9165\n",
            "Epoch: 0/50-Batch: 940/1875--D.loss:0.2733,G.loss:0.1984\n",
            "Epoch: 0/50-Batch: 941/1875--D.loss:0.5060,G.loss:1.9752\n",
            "Epoch: 0/50-Batch: 942/1875--D.loss:0.2933,G.loss:0.0798\n",
            "Epoch: 0/50-Batch: 943/1875--D.loss:0.1618,G.loss:0.2741\n",
            "Epoch: 0/50-Batch: 944/1875--D.loss:0.1256,G.loss:0.6422\n",
            "Epoch: 0/50-Batch: 945/1875--D.loss:0.1279,G.loss:0.7149\n",
            "Epoch: 0/50-Batch: 946/1875--D.loss:0.1051,G.loss:0.5122\n",
            "Epoch: 0/50-Batch: 947/1875--D.loss:0.1066,G.loss:0.4089\n",
            "Epoch: 0/50-Batch: 948/1875--D.loss:0.0923,G.loss:0.5050\n",
            "Epoch: 0/50-Batch: 949/1875--D.loss:0.0736,G.loss:0.5821\n",
            "Epoch: 0/50-Batch: 950/1875--D.loss:0.0889,G.loss:0.7088\n",
            "Epoch: 0/50-Batch: 951/1875--D.loss:0.0790,G.loss:0.6077\n",
            "Epoch: 0/50-Batch: 952/1875--D.loss:0.0890,G.loss:0.4563\n",
            "Epoch: 0/50-Batch: 953/1875--D.loss:0.0652,G.loss:0.8051\n",
            "Epoch: 0/50-Batch: 954/1875--D.loss:0.0900,G.loss:0.6337\n",
            "Epoch: 0/50-Batch: 955/1875--D.loss:0.0593,G.loss:0.6262\n",
            "Epoch: 0/50-Batch: 956/1875--D.loss:0.0754,G.loss:0.6034\n",
            "Epoch: 0/50-Batch: 957/1875--D.loss:0.0835,G.loss:0.7516\n",
            "Epoch: 0/50-Batch: 958/1875--D.loss:0.0698,G.loss:0.6076\n",
            "Epoch: 0/50-Batch: 959/1875--D.loss:0.0861,G.loss:0.5868\n",
            "Epoch: 0/50-Batch: 960/1875--D.loss:0.0959,G.loss:0.5376\n",
            "Epoch: 0/50-Batch: 961/1875--D.loss:0.0845,G.loss:0.8431\n",
            "Epoch: 0/50-Batch: 962/1875--D.loss:0.1151,G.loss:0.3621\n",
            "Epoch: 0/50-Batch: 963/1875--D.loss:0.0990,G.loss:0.8663\n",
            "Epoch: 0/50-Batch: 964/1875--D.loss:0.1173,G.loss:0.5252\n",
            "Epoch: 0/50-Batch: 965/1875--D.loss:0.0845,G.loss:0.5267\n",
            "Epoch: 0/50-Batch: 966/1875--D.loss:0.0843,G.loss:0.8947\n",
            "Epoch: 0/50-Batch: 967/1875--D.loss:0.1174,G.loss:0.4656\n",
            "Epoch: 0/50-Batch: 968/1875--D.loss:0.1127,G.loss:0.7069\n",
            "Epoch: 0/50-Batch: 969/1875--D.loss:0.1042,G.loss:0.5653\n",
            "Epoch: 0/50-Batch: 970/1875--D.loss:0.0739,G.loss:0.6246\n",
            "Epoch: 0/50-Batch: 971/1875--D.loss:0.0914,G.loss:0.8459\n",
            "Epoch: 0/50-Batch: 972/1875--D.loss:0.0921,G.loss:0.5198\n",
            "Epoch: 0/50-Batch: 973/1875--D.loss:0.0904,G.loss:0.6361\n",
            "Epoch: 0/50-Batch: 974/1875--D.loss:0.0885,G.loss:0.5460\n",
            "Epoch: 0/50-Batch: 975/1875--D.loss:0.1459,G.loss:0.8930\n",
            "Epoch: 0/50-Batch: 976/1875--D.loss:0.1517,G.loss:0.2857\n",
            "Epoch: 0/50-Batch: 977/1875--D.loss:0.1382,G.loss:0.9511\n",
            "Epoch: 0/50-Batch: 978/1875--D.loss:0.1334,G.loss:0.3550\n",
            "Epoch: 0/50-Batch: 979/1875--D.loss:0.0972,G.loss:0.6276\n",
            "Epoch: 0/50-Batch: 980/1875--D.loss:0.0934,G.loss:0.6925\n",
            "Epoch: 0/50-Batch: 981/1875--D.loss:0.1183,G.loss:0.5019\n",
            "Epoch: 0/50-Batch: 982/1875--D.loss:0.0681,G.loss:0.5536\n",
            "Epoch: 0/50-Batch: 983/1875--D.loss:0.1001,G.loss:0.7024\n",
            "Epoch: 0/50-Batch: 984/1875--D.loss:0.0647,G.loss:0.6825\n",
            "Epoch: 0/50-Batch: 985/1875--D.loss:0.1317,G.loss:0.8620\n",
            "Epoch: 0/50-Batch: 986/1875--D.loss:0.2517,G.loss:0.1398\n",
            "Epoch: 0/50-Batch: 987/1875--D.loss:0.3804,G.loss:1.7312\n",
            "Epoch: 0/50-Batch: 988/1875--D.loss:0.1980,G.loss:0.1670\n",
            "Epoch: 0/50-Batch: 989/1875--D.loss:0.1213,G.loss:0.3882\n",
            "Epoch: 0/50-Batch: 990/1875--D.loss:0.0852,G.loss:0.6885\n",
            "Epoch: 0/50-Batch: 991/1875--D.loss:0.1516,G.loss:0.6898\n",
            "Epoch: 0/50-Batch: 992/1875--D.loss:0.1017,G.loss:0.4353\n",
            "Epoch: 0/50-Batch: 993/1875--D.loss:0.0849,G.loss:0.4959\n",
            "Epoch: 0/50-Batch: 994/1875--D.loss:0.0850,G.loss:0.7032\n",
            "Epoch: 0/50-Batch: 995/1875--D.loss:0.0723,G.loss:0.6470\n",
            "Epoch: 0/50-Batch: 996/1875--D.loss:0.0786,G.loss:0.6154\n",
            "Epoch: 0/50-Batch: 997/1875--D.loss:0.0831,G.loss:0.6271\n",
            "Epoch: 0/50-Batch: 998/1875--D.loss:0.0796,G.loss:0.5862\n",
            "Epoch: 0/50-Batch: 999/1875--D.loss:0.0654,G.loss:0.6449\n",
            "Epoch: 0/50-Batch: 1000/1875--D.loss:0.0792,G.loss:0.6498\n",
            "Epoch: 0/50-Batch: 1001/1875--D.loss:0.0720,G.loss:0.6282\n",
            "Epoch: 0/50-Batch: 1002/1875--D.loss:0.0943,G.loss:0.6094\n",
            "Epoch: 0/50-Batch: 1003/1875--D.loss:0.0787,G.loss:0.6495\n",
            "Epoch: 0/50-Batch: 1004/1875--D.loss:0.0984,G.loss:0.7261\n",
            "Epoch: 0/50-Batch: 1005/1875--D.loss:0.0986,G.loss:0.4602\n",
            "Epoch: 0/50-Batch: 1006/1875--D.loss:0.0935,G.loss:0.6899\n",
            "Epoch: 0/50-Batch: 1007/1875--D.loss:0.0763,G.loss:0.6768\n",
            "Epoch: 0/50-Batch: 1008/1875--D.loss:0.0891,G.loss:0.6494\n",
            "Epoch: 0/50-Batch: 1009/1875--D.loss:0.1054,G.loss:0.6156\n",
            "Epoch: 0/50-Batch: 1010/1875--D.loss:0.1187,G.loss:0.3796\n",
            "Epoch: 0/50-Batch: 1011/1875--D.loss:0.1734,G.loss:1.0438\n",
            "Epoch: 0/50-Batch: 1012/1875--D.loss:0.2207,G.loss:0.1899\n",
            "Epoch: 0/50-Batch: 1013/1875--D.loss:0.2247,G.loss:1.0777\n",
            "Epoch: 0/50-Batch: 1014/1875--D.loss:0.1456,G.loss:0.3156\n",
            "Epoch: 0/50-Batch: 1015/1875--D.loss:0.0957,G.loss:0.5186\n",
            "Epoch: 0/50-Batch: 1016/1875--D.loss:0.1075,G.loss:0.6637\n",
            "Epoch: 0/50-Batch: 1017/1875--D.loss:0.0794,G.loss:0.6225\n",
            "Epoch: 0/50-Batch: 1018/1875--D.loss:0.0794,G.loss:0.5975\n",
            "Epoch: 0/50-Batch: 1019/1875--D.loss:0.0878,G.loss:0.7163\n",
            "Epoch: 0/50-Batch: 1020/1875--D.loss:0.0917,G.loss:0.4389\n",
            "Epoch: 0/50-Batch: 1021/1875--D.loss:0.0694,G.loss:0.7487\n",
            "Epoch: 0/50-Batch: 1022/1875--D.loss:0.0732,G.loss:0.5895\n",
            "Epoch: 0/50-Batch: 1023/1875--D.loss:0.0895,G.loss:0.6777\n",
            "Epoch: 0/50-Batch: 1024/1875--D.loss:0.0780,G.loss:0.6199\n",
            "Epoch: 0/50-Batch: 1025/1875--D.loss:0.0794,G.loss:0.6759\n",
            "Epoch: 0/50-Batch: 1026/1875--D.loss:0.0734,G.loss:0.5906\n",
            "Epoch: 0/50-Batch: 1027/1875--D.loss:0.0752,G.loss:0.5967\n",
            "Epoch: 0/50-Batch: 1028/1875--D.loss:0.0857,G.loss:0.6202\n",
            "Epoch: 0/50-Batch: 1029/1875--D.loss:0.1180,G.loss:0.8726\n",
            "Epoch: 0/50-Batch: 1030/1875--D.loss:0.1733,G.loss:0.1766\n",
            "Epoch: 0/50-Batch: 1031/1875--D.loss:0.2614,G.loss:1.4297\n",
            "Epoch: 0/50-Batch: 1032/1875--D.loss:0.1834,G.loss:0.2104\n",
            "Epoch: 0/50-Batch: 1033/1875--D.loss:0.0889,G.loss:0.6255\n",
            "Epoch: 0/50-Batch: 1034/1875--D.loss:0.0802,G.loss:0.8108\n",
            "Epoch: 0/50-Batch: 1035/1875--D.loss:0.0801,G.loss:0.6258\n",
            "Epoch: 0/50-Batch: 1036/1875--D.loss:0.0944,G.loss:0.5634\n",
            "Epoch: 0/50-Batch: 1037/1875--D.loss:0.1308,G.loss:0.8466\n",
            "Epoch: 0/50-Batch: 1038/1875--D.loss:0.0990,G.loss:0.4643\n",
            "Epoch: 0/50-Batch: 1039/1875--D.loss:0.0954,G.loss:0.7021\n",
            "Epoch: 0/50-Batch: 1040/1875--D.loss:0.0741,G.loss:0.5905\n",
            "Epoch: 0/50-Batch: 1041/1875--D.loss:0.0961,G.loss:0.5807\n",
            "Epoch: 0/50-Batch: 1042/1875--D.loss:0.0799,G.loss:0.6962\n",
            "Epoch: 0/50-Batch: 1043/1875--D.loss:0.0912,G.loss:0.6398\n",
            "Epoch: 0/50-Batch: 1044/1875--D.loss:0.0881,G.loss:0.5509\n",
            "Epoch: 0/50-Batch: 1045/1875--D.loss:0.1239,G.loss:0.8893\n",
            "Epoch: 0/50-Batch: 1046/1875--D.loss:0.1937,G.loss:0.2490\n",
            "Epoch: 0/50-Batch: 1047/1875--D.loss:0.2519,G.loss:1.2627\n",
            "Epoch: 0/50-Batch: 1048/1875--D.loss:0.1562,G.loss:0.2764\n",
            "Epoch: 0/50-Batch: 1049/1875--D.loss:0.0929,G.loss:0.5756\n",
            "Epoch: 0/50-Batch: 1050/1875--D.loss:0.1005,G.loss:0.7545\n",
            "Epoch: 0/50-Batch: 1051/1875--D.loss:0.1231,G.loss:0.6150\n",
            "Epoch: 0/50-Batch: 1052/1875--D.loss:0.1346,G.loss:0.4206\n",
            "Epoch: 0/50-Batch: 1053/1875--D.loss:0.0966,G.loss:0.7469\n",
            "Epoch: 0/50-Batch: 1054/1875--D.loss:0.0738,G.loss:0.6664\n",
            "Epoch: 0/50-Batch: 1055/1875--D.loss:0.0806,G.loss:0.6952\n",
            "Epoch: 0/50-Batch: 1056/1875--D.loss:0.0766,G.loss:0.5859\n",
            "Epoch: 0/50-Batch: 1057/1875--D.loss:0.1020,G.loss:0.6819\n",
            "Epoch: 0/50-Batch: 1058/1875--D.loss:0.0778,G.loss:0.6856\n",
            "Epoch: 0/50-Batch: 1059/1875--D.loss:0.0745,G.loss:0.5915\n",
            "Epoch: 0/50-Batch: 1060/1875--D.loss:0.0977,G.loss:0.6792\n",
            "Epoch: 0/50-Batch: 1061/1875--D.loss:0.0803,G.loss:0.6141\n",
            "Epoch: 0/50-Batch: 1062/1875--D.loss:0.0846,G.loss:0.7173\n",
            "Epoch: 0/50-Batch: 1063/1875--D.loss:0.1162,G.loss:0.3998\n",
            "Epoch: 0/50-Batch: 1064/1875--D.loss:0.2471,G.loss:1.3975\n",
            "Epoch: 0/50-Batch: 1065/1875--D.loss:0.5168,G.loss:0.0171\n",
            "Epoch: 0/50-Batch: 1066/1875--D.loss:0.1597,G.loss:0.9508\n",
            "Epoch: 0/50-Batch: 1067/1875--D.loss:0.1826,G.loss:0.9426\n",
            "Epoch: 0/50-Batch: 1068/1875--D.loss:0.1431,G.loss:0.4630\n",
            "Epoch: 0/50-Batch: 1069/1875--D.loss:0.1176,G.loss:0.3456\n",
            "Epoch: 0/50-Batch: 1070/1875--D.loss:0.0906,G.loss:0.5286\n",
            "Epoch: 0/50-Batch: 1071/1875--D.loss:0.0924,G.loss:0.7228\n",
            "Epoch: 0/50-Batch: 1072/1875--D.loss:0.0881,G.loss:0.6019\n",
            "Epoch: 0/50-Batch: 1073/1875--D.loss:0.1024,G.loss:0.4210\n",
            "Epoch: 0/50-Batch: 1074/1875--D.loss:0.0850,G.loss:0.6098\n",
            "Epoch: 0/50-Batch: 1075/1875--D.loss:0.0802,G.loss:0.7016\n",
            "Epoch: 0/50-Batch: 1076/1875--D.loss:0.0651,G.loss:0.6277\n",
            "Epoch: 0/50-Batch: 1077/1875--D.loss:0.0818,G.loss:0.5299\n",
            "Epoch: 0/50-Batch: 1078/1875--D.loss:0.0987,G.loss:0.7774\n",
            "Epoch: 0/50-Batch: 1079/1875--D.loss:0.0933,G.loss:0.5868\n",
            "Epoch: 0/50-Batch: 1080/1875--D.loss:0.0784,G.loss:0.5816\n",
            "Epoch: 0/50-Batch: 1081/1875--D.loss:0.0871,G.loss:0.8152\n",
            "Epoch: 0/50-Batch: 1082/1875--D.loss:0.1065,G.loss:0.4644\n",
            "Epoch: 0/50-Batch: 1083/1875--D.loss:0.0864,G.loss:0.5218\n",
            "Epoch: 0/50-Batch: 1084/1875--D.loss:0.1036,G.loss:0.9598\n",
            "Epoch: 0/50-Batch: 1085/1875--D.loss:0.1299,G.loss:0.3238\n",
            "Epoch: 0/50-Batch: 1086/1875--D.loss:0.0892,G.loss:0.8462\n",
            "Epoch: 0/50-Batch: 1087/1875--D.loss:0.0819,G.loss:0.6261\n",
            "Epoch: 0/50-Batch: 1088/1875--D.loss:0.1163,G.loss:0.5115\n",
            "Epoch: 0/50-Batch: 1089/1875--D.loss:0.1180,G.loss:0.8274\n",
            "Epoch: 0/50-Batch: 1090/1875--D.loss:0.1124,G.loss:0.4188\n",
            "Epoch: 0/50-Batch: 1091/1875--D.loss:0.1265,G.loss:1.0265\n",
            "Epoch: 0/50-Batch: 1092/1875--D.loss:0.1390,G.loss:0.2811\n",
            "Epoch: 0/50-Batch: 1093/1875--D.loss:0.1128,G.loss:0.9832\n",
            "Epoch: 0/50-Batch: 1094/1875--D.loss:0.1124,G.loss:0.4865\n",
            "Epoch: 0/50-Batch: 1095/1875--D.loss:0.0980,G.loss:0.5173\n",
            "Epoch: 0/50-Batch: 1096/1875--D.loss:0.0562,G.loss:0.6907\n",
            "Epoch: 0/50-Batch: 1097/1875--D.loss:0.1088,G.loss:0.7625\n",
            "Epoch: 0/50-Batch: 1098/1875--D.loss:0.1207,G.loss:0.3804\n",
            "Epoch: 0/50-Batch: 1099/1875--D.loss:0.1622,G.loss:1.1057\n",
            "Epoch: 0/50-Batch: 1100/1875--D.loss:0.2036,G.loss:0.2357\n",
            "Epoch: 0/50-Batch: 1101/1875--D.loss:0.1909,G.loss:1.1607\n",
            "Epoch: 0/50-Batch: 1102/1875--D.loss:0.1027,G.loss:0.4792\n",
            "Epoch: 0/50-Batch: 1103/1875--D.loss:0.0947,G.loss:0.4664\n",
            "Epoch: 0/50-Batch: 1104/1875--D.loss:0.0981,G.loss:0.7102\n",
            "Epoch: 0/50-Batch: 1105/1875--D.loss:0.0840,G.loss:0.6490\n",
            "Epoch: 0/50-Batch: 1106/1875--D.loss:0.0903,G.loss:0.5576\n",
            "Epoch: 0/50-Batch: 1107/1875--D.loss:0.0741,G.loss:0.6027\n",
            "Epoch: 0/50-Batch: 1108/1875--D.loss:0.0776,G.loss:0.6574\n",
            "Epoch: 0/50-Batch: 1109/1875--D.loss:0.0901,G.loss:0.5533\n",
            "Epoch: 0/50-Batch: 1110/1875--D.loss:0.0699,G.loss:0.7524\n",
            "Epoch: 0/50-Batch: 1111/1875--D.loss:0.0822,G.loss:0.6795\n",
            "Epoch: 0/50-Batch: 1112/1875--D.loss:0.0739,G.loss:0.6506\n",
            "Epoch: 0/50-Batch: 1113/1875--D.loss:0.0944,G.loss:0.5285\n",
            "Epoch: 0/50-Batch: 1114/1875--D.loss:0.0759,G.loss:0.8080\n",
            "Epoch: 0/50-Batch: 1115/1875--D.loss:0.0877,G.loss:0.6022\n",
            "Epoch: 0/50-Batch: 1116/1875--D.loss:0.0565,G.loss:0.6589\n",
            "Epoch: 0/50-Batch: 1117/1875--D.loss:0.0927,G.loss:0.8420\n",
            "Epoch: 0/50-Batch: 1118/1875--D.loss:0.1281,G.loss:0.4055\n",
            "Epoch: 0/50-Batch: 1119/1875--D.loss:0.2589,G.loss:1.5292\n",
            "Epoch: 0/50-Batch: 1120/1875--D.loss:0.4336,G.loss:0.0565\n",
            "Epoch: 0/50-Batch: 1121/1875--D.loss:0.2310,G.loss:1.2744\n",
            "Epoch: 0/50-Batch: 1122/1875--D.loss:0.1422,G.loss:0.8020\n",
            "Epoch: 0/50-Batch: 1123/1875--D.loss:0.1269,G.loss:0.3506\n",
            "Epoch: 0/50-Batch: 1124/1875--D.loss:0.1208,G.loss:0.3795\n",
            "Epoch: 0/50-Batch: 1125/1875--D.loss:0.1110,G.loss:0.5960\n",
            "Epoch: 0/50-Batch: 1126/1875--D.loss:0.0822,G.loss:0.6957\n",
            "Epoch: 0/50-Batch: 1127/1875--D.loss:0.0822,G.loss:0.5959\n",
            "Epoch: 0/50-Batch: 1128/1875--D.loss:0.0804,G.loss:0.5906\n",
            "Epoch: 0/50-Batch: 1129/1875--D.loss:0.0795,G.loss:0.7202\n",
            "Epoch: 0/50-Batch: 1130/1875--D.loss:0.0703,G.loss:0.6275\n",
            "Epoch: 0/50-Batch: 1131/1875--D.loss:0.0755,G.loss:0.6632\n",
            "Epoch: 0/50-Batch: 1132/1875--D.loss:0.0815,G.loss:0.7623\n",
            "Epoch: 0/50-Batch: 1133/1875--D.loss:0.0742,G.loss:0.5915\n",
            "Epoch: 0/50-Batch: 1134/1875--D.loss:0.0718,G.loss:0.8834\n",
            "Epoch: 0/50-Batch: 1135/1875--D.loss:0.0687,G.loss:0.6606\n",
            "Epoch: 0/50-Batch: 1136/1875--D.loss:0.0816,G.loss:0.6353\n",
            "Epoch: 0/50-Batch: 1137/1875--D.loss:0.0728,G.loss:0.7251\n",
            "Epoch: 0/50-Batch: 1138/1875--D.loss:0.0680,G.loss:0.6713\n",
            "Epoch: 0/50-Batch: 1139/1875--D.loss:0.0688,G.loss:0.5243\n",
            "Epoch: 0/50-Batch: 1140/1875--D.loss:0.1054,G.loss:0.7854\n",
            "Epoch: 0/50-Batch: 1141/1875--D.loss:0.0765,G.loss:0.4567\n",
            "Epoch: 0/50-Batch: 1142/1875--D.loss:0.0914,G.loss:0.8020\n",
            "Epoch: 0/50-Batch: 1143/1875--D.loss:0.1007,G.loss:0.4400\n",
            "Epoch: 0/50-Batch: 1144/1875--D.loss:0.1152,G.loss:0.8849\n",
            "Epoch: 0/50-Batch: 1145/1875--D.loss:0.1712,G.loss:0.2730\n",
            "Epoch: 0/50-Batch: 1146/1875--D.loss:0.1934,G.loss:1.1240\n",
            "Epoch: 0/50-Batch: 1147/1875--D.loss:0.1521,G.loss:0.3045\n",
            "Epoch: 0/50-Batch: 1148/1875--D.loss:0.0946,G.loss:0.6670\n",
            "Epoch: 0/50-Batch: 1149/1875--D.loss:0.0954,G.loss:0.7492\n",
            "Epoch: 0/50-Batch: 1150/1875--D.loss:0.0937,G.loss:0.4068\n",
            "Epoch: 0/50-Batch: 1151/1875--D.loss:0.0749,G.loss:0.6303\n",
            "Epoch: 0/50-Batch: 1152/1875--D.loss:0.0694,G.loss:0.6817\n",
            "Epoch: 0/50-Batch: 1153/1875--D.loss:0.0640,G.loss:0.5882\n",
            "Epoch: 0/50-Batch: 1154/1875--D.loss:0.0758,G.loss:0.6227\n",
            "Epoch: 0/50-Batch: 1155/1875--D.loss:0.0722,G.loss:0.8589\n",
            "Epoch: 0/50-Batch: 1156/1875--D.loss:0.0635,G.loss:0.6196\n",
            "Epoch: 0/50-Batch: 1157/1875--D.loss:0.0890,G.loss:0.7448\n",
            "Epoch: 0/50-Batch: 1158/1875--D.loss:0.0807,G.loss:0.5262\n",
            "Epoch: 0/50-Batch: 1159/1875--D.loss:0.0875,G.loss:0.9355\n",
            "Epoch: 0/50-Batch: 1160/1875--D.loss:0.1269,G.loss:0.3760\n",
            "Epoch: 0/50-Batch: 1161/1875--D.loss:0.1242,G.loss:1.0582\n",
            "Epoch: 0/50-Batch: 1162/1875--D.loss:0.1211,G.loss:0.4794\n",
            "Epoch: 0/50-Batch: 1163/1875--D.loss:0.1264,G.loss:0.5177\n",
            "Epoch: 0/50-Batch: 1164/1875--D.loss:0.0963,G.loss:0.5926\n",
            "Epoch: 0/50-Batch: 1165/1875--D.loss:0.0766,G.loss:0.7487\n",
            "Epoch: 0/50-Batch: 1166/1875--D.loss:0.0690,G.loss:0.6052\n",
            "Epoch: 0/50-Batch: 1167/1875--D.loss:0.0890,G.loss:0.8966\n",
            "Epoch: 0/50-Batch: 1168/1875--D.loss:0.1125,G.loss:0.4381\n",
            "Epoch: 0/50-Batch: 1169/1875--D.loss:0.1023,G.loss:0.5424\n",
            "Epoch: 0/50-Batch: 1170/1875--D.loss:0.0853,G.loss:0.7266\n",
            "Epoch: 0/50-Batch: 1171/1875--D.loss:0.1081,G.loss:0.9095\n",
            "Epoch: 0/50-Batch: 1172/1875--D.loss:0.1134,G.loss:0.4364\n",
            "Epoch: 0/50-Batch: 1173/1875--D.loss:0.1058,G.loss:0.8664\n",
            "Epoch: 0/50-Batch: 1174/1875--D.loss:0.1115,G.loss:0.4709\n",
            "Epoch: 0/50-Batch: 1175/1875--D.loss:0.1686,G.loss:1.0430\n",
            "Epoch: 0/50-Batch: 1176/1875--D.loss:0.1942,G.loss:0.2689\n",
            "Epoch: 0/50-Batch: 1177/1875--D.loss:0.0836,G.loss:0.9026\n",
            "Epoch: 0/50-Batch: 1178/1875--D.loss:0.1089,G.loss:0.8442\n",
            "Epoch: 0/50-Batch: 1179/1875--D.loss:0.1160,G.loss:0.4402\n",
            "Epoch: 0/50-Batch: 1180/1875--D.loss:0.0917,G.loss:0.6333\n",
            "Epoch: 0/50-Batch: 1181/1875--D.loss:0.1195,G.loss:0.7613\n",
            "Epoch: 0/50-Batch: 1182/1875--D.loss:0.1258,G.loss:0.3775\n",
            "Epoch: 0/50-Batch: 1183/1875--D.loss:0.0616,G.loss:0.8066\n",
            "Epoch: 0/50-Batch: 1184/1875--D.loss:0.1326,G.loss:0.8509\n",
            "Epoch: 0/50-Batch: 1185/1875--D.loss:0.1218,G.loss:0.3819\n",
            "Epoch: 0/50-Batch: 1186/1875--D.loss:0.1208,G.loss:0.7498\n",
            "Epoch: 0/50-Batch: 1187/1875--D.loss:0.0830,G.loss:0.5538\n",
            "Epoch: 0/50-Batch: 1188/1875--D.loss:0.1105,G.loss:0.5910\n",
            "Epoch: 0/50-Batch: 1189/1875--D.loss:0.1145,G.loss:0.7419\n",
            "Epoch: 0/50-Batch: 1190/1875--D.loss:0.0956,G.loss:0.5319\n",
            "Epoch: 0/50-Batch: 1191/1875--D.loss:0.0782,G.loss:0.7231\n",
            "Epoch: 0/50-Batch: 1192/1875--D.loss:0.0701,G.loss:0.6258\n",
            "Epoch: 0/50-Batch: 1193/1875--D.loss:0.0998,G.loss:0.7891\n",
            "Epoch: 0/50-Batch: 1194/1875--D.loss:0.0971,G.loss:0.4863\n",
            "Epoch: 0/50-Batch: 1195/1875--D.loss:0.1463,G.loss:1.2098\n",
            "Epoch: 0/50-Batch: 1196/1875--D.loss:0.1856,G.loss:0.2372\n",
            "Epoch: 0/50-Batch: 1197/1875--D.loss:0.1580,G.loss:1.0001\n",
            "Epoch: 0/50-Batch: 1198/1875--D.loss:0.1224,G.loss:0.4215\n",
            "Epoch: 0/50-Batch: 1199/1875--D.loss:0.0781,G.loss:0.6437\n",
            "Epoch: 0/50-Batch: 1200/1875--D.loss:0.1331,G.loss:0.8653\n",
            "Epoch: 0/50-Batch: 1201/1875--D.loss:0.1502,G.loss:0.3190\n",
            "Epoch: 0/50-Batch: 1202/1875--D.loss:0.0808,G.loss:0.8031\n",
            "Epoch: 0/50-Batch: 1203/1875--D.loss:0.0778,G.loss:0.7123\n",
            "Epoch: 0/50-Batch: 1204/1875--D.loss:0.1109,G.loss:0.5617\n",
            "Epoch: 0/50-Batch: 1205/1875--D.loss:0.0687,G.loss:0.7173\n",
            "Epoch: 0/50-Batch: 1206/1875--D.loss:0.0831,G.loss:0.8162\n",
            "Epoch: 0/50-Batch: 1207/1875--D.loss:0.0915,G.loss:0.5133\n",
            "Epoch: 0/50-Batch: 1208/1875--D.loss:0.1316,G.loss:0.8986\n",
            "Epoch: 0/50-Batch: 1209/1875--D.loss:0.1147,G.loss:0.4782\n",
            "Epoch: 0/50-Batch: 1210/1875--D.loss:0.0808,G.loss:0.6152\n",
            "Epoch: 0/50-Batch: 1211/1875--D.loss:0.0988,G.loss:0.8273\n",
            "Epoch: 0/50-Batch: 1212/1875--D.loss:0.1068,G.loss:0.4852\n",
            "Epoch: 0/50-Batch: 1213/1875--D.loss:0.0654,G.loss:0.7358\n",
            "Epoch: 0/50-Batch: 1214/1875--D.loss:0.0755,G.loss:0.7816\n",
            "Epoch: 0/50-Batch: 1215/1875--D.loss:0.0644,G.loss:0.6739\n",
            "Epoch: 0/50-Batch: 1216/1875--D.loss:0.1099,G.loss:0.5609\n",
            "Epoch: 0/50-Batch: 1217/1875--D.loss:0.0786,G.loss:0.7753\n",
            "Epoch: 0/50-Batch: 1218/1875--D.loss:0.0686,G.loss:0.6282\n",
            "Epoch: 0/50-Batch: 1219/1875--D.loss:0.1172,G.loss:0.7441\n",
            "Epoch: 0/50-Batch: 1220/1875--D.loss:0.1371,G.loss:0.4268\n",
            "Epoch: 0/50-Batch: 1221/1875--D.loss:0.1024,G.loss:0.9006\n",
            "Epoch: 0/50-Batch: 1222/1875--D.loss:0.1178,G.loss:0.3702\n",
            "Epoch: 0/50-Batch: 1223/1875--D.loss:0.1895,G.loss:1.2854\n",
            "Epoch: 0/50-Batch: 1224/1875--D.loss:0.2052,G.loss:0.1908\n",
            "Epoch: 0/50-Batch: 1225/1875--D.loss:0.1393,G.loss:0.9064\n",
            "Epoch: 0/50-Batch: 1226/1875--D.loss:0.0825,G.loss:0.6167\n",
            "Epoch: 0/50-Batch: 1227/1875--D.loss:0.0847,G.loss:0.4786\n",
            "Epoch: 0/50-Batch: 1228/1875--D.loss:0.0699,G.loss:0.6264\n",
            "Epoch: 0/50-Batch: 1229/1875--D.loss:0.1061,G.loss:0.7472\n",
            "Epoch: 0/50-Batch: 1230/1875--D.loss:0.0715,G.loss:0.5617\n",
            "Epoch: 0/50-Batch: 1231/1875--D.loss:0.0975,G.loss:0.7046\n",
            "Epoch: 0/50-Batch: 1232/1875--D.loss:0.1038,G.loss:0.6110\n",
            "Epoch: 0/50-Batch: 1233/1875--D.loss:0.1307,G.loss:0.3649\n",
            "Epoch: 0/50-Batch: 1234/1875--D.loss:0.1213,G.loss:1.0609\n",
            "Epoch: 0/50-Batch: 1235/1875--D.loss:0.1137,G.loss:0.4126\n",
            "Epoch: 0/50-Batch: 1236/1875--D.loss:0.0889,G.loss:0.6062\n",
            "Epoch: 0/50-Batch: 1237/1875--D.loss:0.1094,G.loss:0.9049\n",
            "Epoch: 0/50-Batch: 1238/1875--D.loss:0.1200,G.loss:0.3174\n",
            "Epoch: 0/50-Batch: 1239/1875--D.loss:0.1026,G.loss:0.7525\n",
            "Epoch: 0/50-Batch: 1240/1875--D.loss:0.1053,G.loss:0.7698\n",
            "Epoch: 0/50-Batch: 1241/1875--D.loss:0.1186,G.loss:0.4636\n",
            "Epoch: 0/50-Batch: 1242/1875--D.loss:0.0941,G.loss:0.7300\n",
            "Epoch: 0/50-Batch: 1243/1875--D.loss:0.0716,G.loss:0.6761\n",
            "Epoch: 0/50-Batch: 1244/1875--D.loss:0.0786,G.loss:0.6450\n",
            "Epoch: 0/50-Batch: 1245/1875--D.loss:0.1061,G.loss:0.7904\n",
            "Epoch: 0/50-Batch: 1246/1875--D.loss:0.1089,G.loss:0.4119\n",
            "Epoch: 0/50-Batch: 1247/1875--D.loss:0.2268,G.loss:1.1191\n",
            "Epoch: 0/50-Batch: 1248/1875--D.loss:0.3144,G.loss:0.1155\n",
            "Epoch: 0/50-Batch: 1249/1875--D.loss:0.0903,G.loss:0.9571\n",
            "Epoch: 0/50-Batch: 1250/1875--D.loss:0.1391,G.loss:0.9541\n",
            "Epoch: 0/50-Batch: 1251/1875--D.loss:0.1034,G.loss:0.3881\n",
            "Epoch: 0/50-Batch: 1252/1875--D.loss:0.0892,G.loss:0.5193\n",
            "Epoch: 0/50-Batch: 1253/1875--D.loss:0.0818,G.loss:0.7186\n",
            "Epoch: 0/50-Batch: 1254/1875--D.loss:0.0829,G.loss:0.6162\n",
            "Epoch: 0/50-Batch: 1255/1875--D.loss:0.0972,G.loss:0.4353\n",
            "Epoch: 0/50-Batch: 1256/1875--D.loss:0.0638,G.loss:0.7148\n",
            "Epoch: 0/50-Batch: 1257/1875--D.loss:0.1120,G.loss:0.8868\n",
            "Epoch: 0/50-Batch: 1258/1875--D.loss:0.0965,G.loss:0.4215\n",
            "Epoch: 0/50-Batch: 1259/1875--D.loss:0.0824,G.loss:0.6006\n",
            "Epoch: 0/50-Batch: 1260/1875--D.loss:0.0845,G.loss:0.7033\n",
            "Epoch: 0/50-Batch: 1261/1875--D.loss:0.0947,G.loss:0.4890\n",
            "Epoch: 0/50-Batch: 1262/1875--D.loss:0.0781,G.loss:0.7728\n",
            "Epoch: 0/50-Batch: 1263/1875--D.loss:0.1051,G.loss:0.8075\n",
            "Epoch: 0/50-Batch: 1264/1875--D.loss:0.1525,G.loss:0.3404\n",
            "Epoch: 0/50-Batch: 1265/1875--D.loss:0.1907,G.loss:1.2850\n",
            "Epoch: 0/50-Batch: 1266/1875--D.loss:0.1621,G.loss:0.2521\n",
            "Epoch: 0/50-Batch: 1267/1875--D.loss:0.1330,G.loss:0.7413\n",
            "Epoch: 0/50-Batch: 1268/1875--D.loss:0.1076,G.loss:0.6389\n",
            "Epoch: 0/50-Batch: 1269/1875--D.loss:0.1204,G.loss:0.4715\n",
            "Epoch: 0/50-Batch: 1270/1875--D.loss:0.1058,G.loss:0.6490\n",
            "Epoch: 0/50-Batch: 1271/1875--D.loss:0.0753,G.loss:0.6455\n",
            "Epoch: 0/50-Batch: 1272/1875--D.loss:0.0772,G.loss:0.6029\n",
            "Epoch: 0/50-Batch: 1273/1875--D.loss:0.0653,G.loss:0.6378\n",
            "Epoch: 0/50-Batch: 1274/1875--D.loss:0.0667,G.loss:0.5405\n",
            "Epoch: 0/50-Batch: 1275/1875--D.loss:0.1076,G.loss:0.7861\n",
            "Epoch: 0/50-Batch: 1276/1875--D.loss:0.0692,G.loss:0.5477\n",
            "Epoch: 0/50-Batch: 1277/1875--D.loss:0.0610,G.loss:0.7137\n",
            "Epoch: 0/50-Batch: 1278/1875--D.loss:0.0623,G.loss:0.8137\n",
            "Epoch: 0/50-Batch: 1279/1875--D.loss:0.1208,G.loss:0.3378\n",
            "Epoch: 0/50-Batch: 1280/1875--D.loss:0.1910,G.loss:1.2009\n",
            "Epoch: 0/50-Batch: 1281/1875--D.loss:0.1953,G.loss:0.2122\n",
            "Epoch: 0/50-Batch: 1282/1875--D.loss:0.1066,G.loss:0.7963\n",
            "Epoch: 0/50-Batch: 1283/1875--D.loss:0.0978,G.loss:0.5929\n",
            "Epoch: 0/50-Batch: 1284/1875--D.loss:0.0827,G.loss:0.5839\n",
            "Epoch: 0/50-Batch: 1285/1875--D.loss:0.1009,G.loss:0.6439\n",
            "Epoch: 0/50-Batch: 1286/1875--D.loss:0.0930,G.loss:0.6219\n",
            "Epoch: 0/50-Batch: 1287/1875--D.loss:0.0667,G.loss:0.9316\n",
            "Epoch: 0/50-Batch: 1288/1875--D.loss:0.0664,G.loss:0.5413\n",
            "Epoch: 0/50-Batch: 1289/1875--D.loss:0.0784,G.loss:0.6537\n",
            "Epoch: 0/50-Batch: 1290/1875--D.loss:0.0992,G.loss:0.6873\n",
            "Epoch: 0/50-Batch: 1291/1875--D.loss:0.0709,G.loss:0.5894\n",
            "Epoch: 0/50-Batch: 1292/1875--D.loss:0.1073,G.loss:0.8575\n",
            "Epoch: 0/50-Batch: 1293/1875--D.loss:0.1276,G.loss:0.3811\n",
            "Epoch: 0/50-Batch: 1294/1875--D.loss:0.1929,G.loss:1.3785\n",
            "Epoch: 0/50-Batch: 1295/1875--D.loss:0.1284,G.loss:0.2999\n",
            "Epoch: 0/50-Batch: 1296/1875--D.loss:0.1094,G.loss:0.6823\n",
            "Epoch: 0/50-Batch: 1297/1875--D.loss:0.1305,G.loss:0.9521\n",
            "Epoch: 0/50-Batch: 1298/1875--D.loss:0.1095,G.loss:0.4426\n",
            "Epoch: 0/50-Batch: 1299/1875--D.loss:0.0783,G.loss:0.6287\n",
            "Epoch: 0/50-Batch: 1300/1875--D.loss:0.0765,G.loss:0.6865\n",
            "Epoch: 0/50-Batch: 1301/1875--D.loss:0.0613,G.loss:0.6190\n",
            "Epoch: 0/50-Batch: 1302/1875--D.loss:0.0695,G.loss:0.8019\n",
            "Epoch: 0/50-Batch: 1303/1875--D.loss:0.0678,G.loss:0.5439\n",
            "Epoch: 0/50-Batch: 1304/1875--D.loss:0.0523,G.loss:0.7504\n",
            "Epoch: 0/50-Batch: 1305/1875--D.loss:0.0663,G.loss:0.7798\n",
            "Epoch: 0/50-Batch: 1306/1875--D.loss:0.0713,G.loss:0.7003\n",
            "Epoch: 0/50-Batch: 1307/1875--D.loss:0.0800,G.loss:0.6581\n",
            "Epoch: 0/50-Batch: 1308/1875--D.loss:0.0574,G.loss:0.7709\n",
            "Epoch: 0/50-Batch: 1309/1875--D.loss:0.0898,G.loss:0.8898\n",
            "Epoch: 0/50-Batch: 1310/1875--D.loss:0.1464,G.loss:0.3670\n",
            "Epoch: 0/50-Batch: 1311/1875--D.loss:0.2083,G.loss:1.3740\n",
            "Epoch: 0/50-Batch: 1312/1875--D.loss:0.1761,G.loss:0.2250\n",
            "Epoch: 0/50-Batch: 1313/1875--D.loss:0.0870,G.loss:0.8592\n",
            "Epoch: 0/50-Batch: 1314/1875--D.loss:0.0849,G.loss:0.7305\n",
            "Epoch: 0/50-Batch: 1315/1875--D.loss:0.0970,G.loss:0.5061\n",
            "Epoch: 0/50-Batch: 1316/1875--D.loss:0.0796,G.loss:0.6039\n",
            "Epoch: 0/50-Batch: 1317/1875--D.loss:0.0713,G.loss:0.6706\n",
            "Epoch: 0/50-Batch: 1318/1875--D.loss:0.0807,G.loss:0.8516\n",
            "Epoch: 0/50-Batch: 1319/1875--D.loss:0.0812,G.loss:0.4880\n",
            "Epoch: 0/50-Batch: 1320/1875--D.loss:0.1163,G.loss:1.0469\n",
            "Epoch: 0/50-Batch: 1321/1875--D.loss:0.1110,G.loss:0.4507\n",
            "Epoch: 0/50-Batch: 1322/1875--D.loss:0.0708,G.loss:0.6665\n",
            "Epoch: 0/50-Batch: 1323/1875--D.loss:0.0662,G.loss:0.5733\n",
            "Epoch: 0/50-Batch: 1324/1875--D.loss:0.0963,G.loss:0.8019\n",
            "Epoch: 0/50-Batch: 1325/1875--D.loss:0.0847,G.loss:0.5662\n",
            "Epoch: 0/50-Batch: 1326/1875--D.loss:0.1593,G.loss:1.0588\n",
            "Epoch: 0/50-Batch: 1327/1875--D.loss:0.2035,G.loss:0.2416\n",
            "Epoch: 0/50-Batch: 1328/1875--D.loss:0.1435,G.loss:0.7887\n",
            "Epoch: 0/50-Batch: 1329/1875--D.loss:0.0721,G.loss:0.4995\n",
            "Epoch: 0/50-Batch: 1330/1875--D.loss:0.0747,G.loss:0.6401\n",
            "Epoch: 0/50-Batch: 1331/1875--D.loss:0.1057,G.loss:0.7281\n",
            "Epoch: 0/50-Batch: 1332/1875--D.loss:0.0844,G.loss:0.5582\n",
            "Epoch: 0/50-Batch: 1333/1875--D.loss:0.1042,G.loss:0.7033\n",
            "Epoch: 0/50-Batch: 1334/1875--D.loss:0.1153,G.loss:0.4313\n",
            "Epoch: 0/50-Batch: 1335/1875--D.loss:0.1017,G.loss:1.0301\n",
            "Epoch: 0/50-Batch: 1336/1875--D.loss:0.0889,G.loss:0.6130\n",
            "Epoch: 0/50-Batch: 1337/1875--D.loss:0.1046,G.loss:0.6196\n",
            "Epoch: 0/50-Batch: 1338/1875--D.loss:0.1057,G.loss:0.7309\n",
            "Epoch: 0/50-Batch: 1339/1875--D.loss:0.0962,G.loss:0.5403\n",
            "Epoch: 0/50-Batch: 1340/1875--D.loss:0.1171,G.loss:0.9550\n",
            "Epoch: 0/50-Batch: 1341/1875--D.loss:0.2020,G.loss:0.2487\n",
            "Epoch: 0/50-Batch: 1342/1875--D.loss:0.1690,G.loss:1.1479\n",
            "Epoch: 0/50-Batch: 1343/1875--D.loss:0.0944,G.loss:0.5763\n",
            "Epoch: 0/50-Batch: 1344/1875--D.loss:0.0893,G.loss:0.4527\n",
            "Epoch: 0/50-Batch: 1345/1875--D.loss:0.0937,G.loss:0.8701\n",
            "Epoch: 0/50-Batch: 1346/1875--D.loss:0.0794,G.loss:0.6800\n",
            "Epoch: 0/50-Batch: 1347/1875--D.loss:0.1013,G.loss:0.5350\n",
            "Epoch: 0/50-Batch: 1348/1875--D.loss:0.0830,G.loss:0.5547\n",
            "Epoch: 0/50-Batch: 1349/1875--D.loss:0.0699,G.loss:0.6950\n",
            "Epoch: 0/50-Batch: 1350/1875--D.loss:0.0987,G.loss:0.7309\n",
            "Epoch: 0/50-Batch: 1351/1875--D.loss:0.1107,G.loss:0.5199\n",
            "Epoch: 0/50-Batch: 1352/1875--D.loss:0.1046,G.loss:0.5414\n",
            "Epoch: 0/50-Batch: 1353/1875--D.loss:0.1004,G.loss:0.8053\n",
            "Epoch: 0/50-Batch: 1354/1875--D.loss:0.1156,G.loss:0.4491\n",
            "Epoch: 0/50-Batch: 1355/1875--D.loss:0.1035,G.loss:0.7740\n",
            "Epoch: 0/50-Batch: 1356/1875--D.loss:0.1007,G.loss:0.7565\n",
            "Epoch: 0/50-Batch: 1357/1875--D.loss:0.0889,G.loss:0.5213\n",
            "Epoch: 0/50-Batch: 1358/1875--D.loss:0.1435,G.loss:1.0009\n",
            "Epoch: 0/50-Batch: 1359/1875--D.loss:0.1958,G.loss:0.2227\n",
            "Epoch: 0/50-Batch: 1360/1875--D.loss:0.2660,G.loss:1.4433\n",
            "Epoch: 0/50-Batch: 1361/1875--D.loss:0.1924,G.loss:0.1788\n",
            "Epoch: 0/50-Batch: 1362/1875--D.loss:0.0873,G.loss:0.6439\n",
            "Epoch: 0/50-Batch: 1363/1875--D.loss:0.1036,G.loss:0.7994\n",
            "Epoch: 0/50-Batch: 1364/1875--D.loss:0.0975,G.loss:0.5096\n",
            "Epoch: 0/50-Batch: 1365/1875--D.loss:0.0876,G.loss:0.5686\n",
            "Epoch: 0/50-Batch: 1366/1875--D.loss:0.0979,G.loss:0.7839\n",
            "Epoch: 0/50-Batch: 1367/1875--D.loss:0.0810,G.loss:0.6300\n",
            "Epoch: 0/50-Batch: 1368/1875--D.loss:0.0763,G.loss:0.7717\n",
            "Epoch: 0/50-Batch: 1369/1875--D.loss:0.0779,G.loss:0.5649\n",
            "Epoch: 0/50-Batch: 1370/1875--D.loss:0.0727,G.loss:0.6751\n",
            "Epoch: 0/50-Batch: 1371/1875--D.loss:0.0778,G.loss:0.8349\n",
            "Epoch: 0/50-Batch: 1372/1875--D.loss:0.0623,G.loss:0.5183\n",
            "Epoch: 0/50-Batch: 1373/1875--D.loss:0.0718,G.loss:0.8524\n",
            "Epoch: 0/50-Batch: 1374/1875--D.loss:0.0780,G.loss:0.6436\n",
            "Epoch: 0/50-Batch: 1375/1875--D.loss:0.0822,G.loss:0.8129\n",
            "Epoch: 0/50-Batch: 1376/1875--D.loss:0.1054,G.loss:0.4861\n",
            "Epoch: 0/50-Batch: 1377/1875--D.loss:0.1030,G.loss:0.9415\n",
            "Epoch: 0/50-Batch: 1378/1875--D.loss:0.1435,G.loss:0.2755\n",
            "Epoch: 0/50-Batch: 1379/1875--D.loss:0.2001,G.loss:1.1229\n",
            "Epoch: 0/50-Batch: 1380/1875--D.loss:0.2292,G.loss:0.2041\n",
            "Epoch: 0/50-Batch: 1381/1875--D.loss:0.1265,G.loss:1.0666\n",
            "Epoch: 0/50-Batch: 1382/1875--D.loss:0.1096,G.loss:0.6986\n",
            "Epoch: 0/50-Batch: 1383/1875--D.loss:0.1240,G.loss:0.3871\n",
            "Epoch: 0/50-Batch: 1384/1875--D.loss:0.0679,G.loss:0.6429\n",
            "Epoch: 0/50-Batch: 1385/1875--D.loss:0.0949,G.loss:0.8123\n",
            "Epoch: 0/50-Batch: 1386/1875--D.loss:0.0947,G.loss:0.5641\n",
            "Epoch: 0/50-Batch: 1387/1875--D.loss:0.0765,G.loss:0.5333\n",
            "Epoch: 0/50-Batch: 1388/1875--D.loss:0.0945,G.loss:0.7090\n",
            "Epoch: 0/50-Batch: 1389/1875--D.loss:0.0687,G.loss:0.7426\n",
            "Epoch: 0/50-Batch: 1390/1875--D.loss:0.0822,G.loss:0.5592\n",
            "Epoch: 0/50-Batch: 1391/1875--D.loss:0.0765,G.loss:0.7121\n",
            "Epoch: 0/50-Batch: 1392/1875--D.loss:0.1072,G.loss:0.6757\n",
            "Epoch: 0/50-Batch: 1393/1875--D.loss:0.1068,G.loss:0.5150\n",
            "Epoch: 0/50-Batch: 1394/1875--D.loss:0.0997,G.loss:0.7250\n",
            "Epoch: 0/50-Batch: 1395/1875--D.loss:0.0917,G.loss:0.5068\n",
            "Epoch: 0/50-Batch: 1396/1875--D.loss:0.0589,G.loss:0.7524\n",
            "Epoch: 0/50-Batch: 1397/1875--D.loss:0.0984,G.loss:0.7930\n",
            "Epoch: 0/50-Batch: 1398/1875--D.loss:0.1100,G.loss:0.4504\n",
            "Epoch: 0/50-Batch: 1399/1875--D.loss:0.0841,G.loss:0.5853\n",
            "Epoch: 0/50-Batch: 1400/1875--D.loss:0.0988,G.loss:0.9501\n",
            "Epoch: 0/50-Batch: 1401/1875--D.loss:0.1007,G.loss:0.4523\n",
            "Epoch: 0/50-Batch: 1402/1875--D.loss:0.0947,G.loss:0.6943\n",
            "Epoch: 0/50-Batch: 1403/1875--D.loss:0.0696,G.loss:0.6108\n",
            "Epoch: 0/50-Batch: 1404/1875--D.loss:0.1319,G.loss:0.8678\n",
            "Epoch: 0/50-Batch: 1405/1875--D.loss:0.1349,G.loss:0.3211\n",
            "Epoch: 0/50-Batch: 1406/1875--D.loss:0.0996,G.loss:0.9563\n",
            "Epoch: 0/50-Batch: 1407/1875--D.loss:0.1005,G.loss:0.6103\n",
            "Epoch: 0/50-Batch: 1408/1875--D.loss:0.0962,G.loss:0.5204\n",
            "Epoch: 0/50-Batch: 1409/1875--D.loss:0.1239,G.loss:0.9666\n",
            "Epoch: 0/50-Batch: 1410/1875--D.loss:0.1058,G.loss:0.5096\n",
            "Epoch: 0/50-Batch: 1411/1875--D.loss:0.0781,G.loss:0.7540\n",
            "Epoch: 0/50-Batch: 1412/1875--D.loss:0.0765,G.loss:0.6955\n",
            "Epoch: 0/50-Batch: 1413/1875--D.loss:0.0818,G.loss:0.6131\n",
            "Epoch: 0/50-Batch: 1414/1875--D.loss:0.0957,G.loss:0.7233\n",
            "Epoch: 0/50-Batch: 1415/1875--D.loss:0.0956,G.loss:0.5049\n",
            "Epoch: 0/50-Batch: 1416/1875--D.loss:0.1293,G.loss:0.7727\n",
            "Epoch: 0/50-Batch: 1417/1875--D.loss:0.1216,G.loss:0.4549\n",
            "Epoch: 0/50-Batch: 1418/1875--D.loss:0.1413,G.loss:0.9861\n",
            "Epoch: 0/50-Batch: 1419/1875--D.loss:0.2175,G.loss:0.2038\n",
            "Epoch: 0/50-Batch: 1420/1875--D.loss:0.2251,G.loss:1.4093\n",
            "Epoch: 0/50-Batch: 1421/1875--D.loss:0.1392,G.loss:0.3435\n",
            "Epoch: 0/50-Batch: 1422/1875--D.loss:0.0909,G.loss:0.5017\n",
            "Epoch: 0/50-Batch: 1423/1875--D.loss:0.0762,G.loss:0.8822\n",
            "Epoch: 0/50-Batch: 1424/1875--D.loss:0.0875,G.loss:0.7363\n",
            "Epoch: 0/50-Batch: 1425/1875--D.loss:0.0835,G.loss:0.5257\n",
            "Epoch: 0/50-Batch: 1426/1875--D.loss:0.0858,G.loss:0.6269\n",
            "Epoch: 0/50-Batch: 1427/1875--D.loss:0.0840,G.loss:0.7840\n",
            "Epoch: 0/50-Batch: 1428/1875--D.loss:0.0722,G.loss:0.5952\n",
            "Epoch: 0/50-Batch: 1429/1875--D.loss:0.0769,G.loss:0.6480\n",
            "Epoch: 0/50-Batch: 1430/1875--D.loss:0.0499,G.loss:0.7569\n",
            "Epoch: 0/50-Batch: 1431/1875--D.loss:0.0913,G.loss:0.6687\n",
            "Epoch: 0/50-Batch: 1432/1875--D.loss:0.1074,G.loss:0.6035\n",
            "Epoch: 0/50-Batch: 1433/1875--D.loss:0.1138,G.loss:0.5151\n",
            "Epoch: 0/50-Batch: 1434/1875--D.loss:0.0842,G.loss:0.8184\n",
            "Epoch: 0/50-Batch: 1435/1875--D.loss:0.0809,G.loss:0.6467\n",
            "Epoch: 0/50-Batch: 1436/1875--D.loss:0.1090,G.loss:0.5971\n",
            "Epoch: 0/50-Batch: 1437/1875--D.loss:0.1004,G.loss:0.6236\n",
            "Epoch: 0/50-Batch: 1438/1875--D.loss:0.1109,G.loss:0.5551\n",
            "Epoch: 0/50-Batch: 1439/1875--D.loss:0.1067,G.loss:0.6630\n",
            "Epoch: 0/50-Batch: 1440/1875--D.loss:0.0680,G.loss:0.5949\n",
            "Epoch: 0/50-Batch: 1441/1875--D.loss:0.1289,G.loss:0.8939\n",
            "Epoch: 0/50-Batch: 1442/1875--D.loss:0.2591,G.loss:0.1345\n",
            "Epoch: 0/50-Batch: 1443/1875--D.loss:0.3127,G.loss:1.6955\n",
            "Epoch: 0/50-Batch: 1444/1875--D.loss:0.1700,G.loss:0.3198\n",
            "Epoch: 0/50-Batch: 1445/1875--D.loss:0.1333,G.loss:0.4218\n",
            "Epoch: 0/50-Batch: 1446/1875--D.loss:0.0918,G.loss:0.5737\n",
            "Epoch: 0/50-Batch: 1447/1875--D.loss:0.0917,G.loss:0.6848\n",
            "Epoch: 0/50-Batch: 1448/1875--D.loss:0.1086,G.loss:0.5563\n",
            "Epoch: 0/50-Batch: 1449/1875--D.loss:0.1027,G.loss:0.5181\n",
            "Epoch: 0/50-Batch: 1450/1875--D.loss:0.0957,G.loss:0.6739\n",
            "Epoch: 0/50-Batch: 1451/1875--D.loss:0.0718,G.loss:0.6283\n",
            "Epoch: 0/50-Batch: 1452/1875--D.loss:0.0917,G.loss:0.6359\n",
            "Epoch: 0/50-Batch: 1453/1875--D.loss:0.0888,G.loss:0.6409\n",
            "Epoch: 0/50-Batch: 1454/1875--D.loss:0.0720,G.loss:0.5352\n",
            "Epoch: 0/50-Batch: 1455/1875--D.loss:0.0867,G.loss:0.7329\n",
            "Epoch: 0/50-Batch: 1456/1875--D.loss:0.0958,G.loss:0.6741\n",
            "Epoch: 0/50-Batch: 1457/1875--D.loss:0.0880,G.loss:0.6057\n",
            "Epoch: 0/50-Batch: 1458/1875--D.loss:0.0698,G.loss:0.7132\n",
            "Epoch: 0/50-Batch: 1459/1875--D.loss:0.0869,G.loss:0.5102\n",
            "Epoch: 0/50-Batch: 1460/1875--D.loss:0.1053,G.loss:0.8389\n",
            "Epoch: 0/50-Batch: 1461/1875--D.loss:0.1266,G.loss:0.3723\n",
            "Epoch: 0/50-Batch: 1462/1875--D.loss:0.1198,G.loss:0.8546\n",
            "Epoch: 0/50-Batch: 1463/1875--D.loss:0.0772,G.loss:0.5490\n",
            "Epoch: 0/50-Batch: 1464/1875--D.loss:0.0935,G.loss:0.7081\n",
            "Epoch: 0/50-Batch: 1465/1875--D.loss:0.0986,G.loss:0.8077\n",
            "Epoch: 0/50-Batch: 1466/1875--D.loss:0.0885,G.loss:0.5335\n",
            "Epoch: 0/50-Batch: 1467/1875--D.loss:0.1005,G.loss:0.5675\n",
            "Epoch: 0/50-Batch: 1468/1875--D.loss:0.0868,G.loss:0.7136\n",
            "Epoch: 0/50-Batch: 1469/1875--D.loss:0.1041,G.loss:0.5236\n",
            "Epoch: 0/50-Batch: 1470/1875--D.loss:0.0884,G.loss:0.8869\n",
            "Epoch: 0/50-Batch: 1471/1875--D.loss:0.0623,G.loss:0.6558\n",
            "Epoch: 0/50-Batch: 1472/1875--D.loss:0.0849,G.loss:0.8495\n",
            "Epoch: 0/50-Batch: 1473/1875--D.loss:0.0964,G.loss:0.6140\n",
            "Epoch: 0/50-Batch: 1474/1875--D.loss:0.0963,G.loss:0.6847\n",
            "Epoch: 0/50-Batch: 1475/1875--D.loss:0.0994,G.loss:0.6211\n",
            "Epoch: 0/50-Batch: 1476/1875--D.loss:0.0849,G.loss:0.5550\n",
            "Epoch: 0/50-Batch: 1477/1875--D.loss:0.0861,G.loss:0.7350\n",
            "Epoch: 0/50-Batch: 1478/1875--D.loss:0.0763,G.loss:0.6285\n",
            "Epoch: 0/50-Batch: 1479/1875--D.loss:0.0963,G.loss:0.6232\n",
            "Epoch: 0/50-Batch: 1480/1875--D.loss:0.0885,G.loss:0.6098\n",
            "Epoch: 0/50-Batch: 1481/1875--D.loss:0.0619,G.loss:0.7872\n",
            "Epoch: 0/50-Batch: 1482/1875--D.loss:0.1163,G.loss:0.4227\n",
            "Epoch: 0/50-Batch: 1483/1875--D.loss:0.1447,G.loss:1.0096\n",
            "Epoch: 0/50-Batch: 1484/1875--D.loss:0.2112,G.loss:0.2581\n",
            "Epoch: 0/50-Batch: 1485/1875--D.loss:0.1277,G.loss:1.4179\n",
            "Epoch: 0/50-Batch: 1486/1875--D.loss:0.0942,G.loss:0.6229\n",
            "Epoch: 0/50-Batch: 1487/1875--D.loss:0.1273,G.loss:0.3475\n",
            "Epoch: 0/50-Batch: 1488/1875--D.loss:0.1093,G.loss:0.6248\n",
            "Epoch: 0/50-Batch: 1489/1875--D.loss:0.0827,G.loss:0.7487\n",
            "Epoch: 0/50-Batch: 1490/1875--D.loss:0.1068,G.loss:0.5669\n",
            "Epoch: 0/50-Batch: 1491/1875--D.loss:0.0725,G.loss:0.6866\n",
            "Epoch: 0/50-Batch: 1492/1875--D.loss:0.1058,G.loss:0.7471\n",
            "Epoch: 0/50-Batch: 1493/1875--D.loss:0.0908,G.loss:0.5208\n",
            "Epoch: 0/50-Batch: 1494/1875--D.loss:0.0794,G.loss:0.6618\n",
            "Epoch: 0/50-Batch: 1495/1875--D.loss:0.0768,G.loss:0.8543\n",
            "Epoch: 0/50-Batch: 1496/1875--D.loss:0.1109,G.loss:0.4416\n",
            "Epoch: 0/50-Batch: 1497/1875--D.loss:0.1014,G.loss:1.0670\n",
            "Epoch: 0/50-Batch: 1498/1875--D.loss:0.0936,G.loss:0.5529\n",
            "Epoch: 0/50-Batch: 1499/1875--D.loss:0.1027,G.loss:0.6205\n",
            "Epoch: 0/50-Batch: 1500/1875--D.loss:0.0980,G.loss:0.4429\n",
            "Epoch: 0/50-Batch: 1501/1875--D.loss:0.0745,G.loss:0.9135\n",
            "Epoch: 0/50-Batch: 1502/1875--D.loss:0.0982,G.loss:0.4727\n",
            "Epoch: 0/50-Batch: 1503/1875--D.loss:0.0839,G.loss:0.7392\n",
            "Epoch: 0/50-Batch: 1504/1875--D.loss:0.1161,G.loss:0.5946\n",
            "Epoch: 0/50-Batch: 1505/1875--D.loss:0.0982,G.loss:0.5322\n",
            "Epoch: 0/50-Batch: 1506/1875--D.loss:0.0933,G.loss:0.8030\n",
            "Epoch: 0/50-Batch: 1507/1875--D.loss:0.1031,G.loss:0.4531\n",
            "Epoch: 0/50-Batch: 1508/1875--D.loss:0.1421,G.loss:1.2437\n",
            "Epoch: 0/50-Batch: 1509/1875--D.loss:0.2104,G.loss:0.2641\n",
            "Epoch: 0/50-Batch: 1510/1875--D.loss:0.1368,G.loss:1.0434\n",
            "Epoch: 0/50-Batch: 1511/1875--D.loss:0.0880,G.loss:0.5088\n",
            "Epoch: 0/50-Batch: 1512/1875--D.loss:0.0849,G.loss:0.5458\n",
            "Epoch: 0/50-Batch: 1513/1875--D.loss:0.1134,G.loss:0.8202\n",
            "Epoch: 0/50-Batch: 1514/1875--D.loss:0.0730,G.loss:0.6386\n",
            "Epoch: 0/50-Batch: 1515/1875--D.loss:0.0780,G.loss:0.7301\n",
            "Epoch: 0/50-Batch: 1516/1875--D.loss:0.0777,G.loss:0.7283\n",
            "Epoch: 0/50-Batch: 1517/1875--D.loss:0.1023,G.loss:0.4945\n",
            "Epoch: 0/50-Batch: 1518/1875--D.loss:0.1421,G.loss:1.0857\n",
            "Epoch: 0/50-Batch: 1519/1875--D.loss:0.2059,G.loss:0.2134\n",
            "Epoch: 0/50-Batch: 1520/1875--D.loss:0.1072,G.loss:1.0532\n",
            "Epoch: 0/50-Batch: 1521/1875--D.loss:0.0869,G.loss:0.5506\n",
            "Epoch: 0/50-Batch: 1522/1875--D.loss:0.1304,G.loss:0.3630\n",
            "Epoch: 0/50-Batch: 1523/1875--D.loss:0.0825,G.loss:0.7210\n",
            "Epoch: 0/50-Batch: 1524/1875--D.loss:0.0867,G.loss:0.5761\n",
            "Epoch: 0/50-Batch: 1525/1875--D.loss:0.1170,G.loss:0.5880\n",
            "Epoch: 0/50-Batch: 1526/1875--D.loss:0.0874,G.loss:0.6019\n",
            "Epoch: 0/50-Batch: 1527/1875--D.loss:0.0789,G.loss:0.7621\n",
            "Epoch: 0/50-Batch: 1528/1875--D.loss:0.1156,G.loss:0.5223\n",
            "Epoch: 0/50-Batch: 1529/1875--D.loss:0.1159,G.loss:1.0423\n",
            "Epoch: 0/50-Batch: 1530/1875--D.loss:0.1328,G.loss:0.3664\n",
            "Epoch: 0/50-Batch: 1531/1875--D.loss:0.1556,G.loss:0.9796\n",
            "Epoch: 0/50-Batch: 1532/1875--D.loss:0.1214,G.loss:0.4125\n",
            "Epoch: 0/50-Batch: 1533/1875--D.loss:0.1039,G.loss:0.6744\n",
            "Epoch: 0/50-Batch: 1534/1875--D.loss:0.1093,G.loss:0.6594\n",
            "Epoch: 0/50-Batch: 1535/1875--D.loss:0.1196,G.loss:0.5475\n",
            "Epoch: 0/50-Batch: 1536/1875--D.loss:0.1061,G.loss:0.6024\n",
            "Epoch: 0/50-Batch: 1537/1875--D.loss:0.0836,G.loss:0.5584\n",
            "Epoch: 0/50-Batch: 1538/1875--D.loss:0.0848,G.loss:0.6255\n",
            "Epoch: 0/50-Batch: 1539/1875--D.loss:0.1025,G.loss:0.8393\n",
            "Epoch: 0/50-Batch: 1540/1875--D.loss:0.1501,G.loss:0.2831\n",
            "Epoch: 0/50-Batch: 1541/1875--D.loss:0.1660,G.loss:1.1694\n",
            "Epoch: 0/50-Batch: 1542/1875--D.loss:0.1880,G.loss:0.2315\n",
            "Epoch: 0/50-Batch: 1543/1875--D.loss:0.1173,G.loss:0.8268\n",
            "Epoch: 0/50-Batch: 1544/1875--D.loss:0.0908,G.loss:0.5373\n",
            "Epoch: 0/50-Batch: 1545/1875--D.loss:0.0810,G.loss:0.6217\n",
            "Epoch: 0/50-Batch: 1546/1875--D.loss:0.0788,G.loss:0.5084\n",
            "Epoch: 0/50-Batch: 1547/1875--D.loss:0.0884,G.loss:0.7665\n",
            "Epoch: 0/50-Batch: 1548/1875--D.loss:0.0722,G.loss:0.7085\n",
            "Epoch: 0/50-Batch: 1549/1875--D.loss:0.0617,G.loss:0.5892\n",
            "Epoch: 0/50-Batch: 1550/1875--D.loss:0.0594,G.loss:0.7285\n",
            "Epoch: 0/50-Batch: 1551/1875--D.loss:0.0774,G.loss:0.5932\n",
            "Epoch: 0/50-Batch: 1552/1875--D.loss:0.0637,G.loss:0.8112\n",
            "Epoch: 0/50-Batch: 1553/1875--D.loss:0.0753,G.loss:0.6861\n",
            "Epoch: 0/50-Batch: 1554/1875--D.loss:0.1059,G.loss:0.5063\n",
            "Epoch: 0/50-Batch: 1555/1875--D.loss:0.1444,G.loss:1.2012\n",
            "Epoch: 0/50-Batch: 1556/1875--D.loss:0.2850,G.loss:0.1215\n",
            "Epoch: 0/50-Batch: 1557/1875--D.loss:0.1929,G.loss:1.3468\n",
            "Epoch: 0/50-Batch: 1558/1875--D.loss:0.1245,G.loss:0.4880\n",
            "Epoch: 0/50-Batch: 1559/1875--D.loss:0.1150,G.loss:0.5103\n",
            "Epoch: 0/50-Batch: 1560/1875--D.loss:0.1014,G.loss:0.7086\n",
            "Epoch: 0/50-Batch: 1561/1875--D.loss:0.0712,G.loss:0.7317\n",
            "Epoch: 0/50-Batch: 1562/1875--D.loss:0.1053,G.loss:0.4611\n",
            "Epoch: 0/50-Batch: 1563/1875--D.loss:0.1110,G.loss:0.7628\n",
            "Epoch: 0/50-Batch: 1564/1875--D.loss:0.0847,G.loss:0.6889\n",
            "Epoch: 0/50-Batch: 1565/1875--D.loss:0.0939,G.loss:0.5725\n",
            "Epoch: 0/50-Batch: 1566/1875--D.loss:0.0964,G.loss:0.5144\n",
            "Epoch: 0/50-Batch: 1567/1875--D.loss:0.1073,G.loss:0.8328\n",
            "Epoch: 0/50-Batch: 1568/1875--D.loss:0.1233,G.loss:0.5649\n",
            "Epoch: 0/50-Batch: 1569/1875--D.loss:0.1147,G.loss:0.5501\n",
            "Epoch: 0/50-Batch: 1570/1875--D.loss:0.1073,G.loss:0.6712\n",
            "Epoch: 0/50-Batch: 1571/1875--D.loss:0.0966,G.loss:0.4721\n",
            "Epoch: 0/50-Batch: 1572/1875--D.loss:0.0839,G.loss:0.8350\n",
            "Epoch: 0/50-Batch: 1573/1875--D.loss:0.1246,G.loss:0.7201\n",
            "Epoch: 0/50-Batch: 1574/1875--D.loss:0.1503,G.loss:0.3439\n",
            "Epoch: 0/50-Batch: 1575/1875--D.loss:0.0991,G.loss:0.9287\n",
            "Epoch: 0/50-Batch: 1576/1875--D.loss:0.1308,G.loss:0.4955\n",
            "Epoch: 0/50-Batch: 1577/1875--D.loss:0.1021,G.loss:0.4136\n",
            "Epoch: 0/50-Batch: 1578/1875--D.loss:0.1129,G.loss:0.8238\n",
            "Epoch: 0/50-Batch: 1579/1875--D.loss:0.1083,G.loss:0.5673\n",
            "Epoch: 0/50-Batch: 1580/1875--D.loss:0.1139,G.loss:0.8490\n",
            "Epoch: 0/50-Batch: 1581/1875--D.loss:0.1121,G.loss:0.3414\n",
            "Epoch: 0/50-Batch: 1582/1875--D.loss:0.0994,G.loss:0.6722\n",
            "Epoch: 0/50-Batch: 1583/1875--D.loss:0.1053,G.loss:0.6923\n",
            "Epoch: 0/50-Batch: 1584/1875--D.loss:0.1110,G.loss:0.5243\n",
            "Epoch: 0/50-Batch: 1585/1875--D.loss:0.1512,G.loss:1.0751\n",
            "Epoch: 0/50-Batch: 1586/1875--D.loss:0.2184,G.loss:0.1345\n",
            "Epoch: 0/50-Batch: 1587/1875--D.loss:0.1904,G.loss:1.3073\n",
            "Epoch: 0/50-Batch: 1588/1875--D.loss:0.2097,G.loss:0.2703\n",
            "Epoch: 0/50-Batch: 1589/1875--D.loss:0.1606,G.loss:0.9254\n",
            "Epoch: 0/50-Batch: 1590/1875--D.loss:0.0986,G.loss:0.5319\n",
            "Epoch: 0/50-Batch: 1591/1875--D.loss:0.1033,G.loss:0.5153\n",
            "Epoch: 0/50-Batch: 1592/1875--D.loss:0.1107,G.loss:0.6795\n",
            "Epoch: 0/50-Batch: 1593/1875--D.loss:0.0990,G.loss:0.5337\n",
            "Epoch: 0/50-Batch: 1594/1875--D.loss:0.0807,G.loss:0.6671\n",
            "Epoch: 0/50-Batch: 1595/1875--D.loss:0.1244,G.loss:0.7839\n",
            "Epoch: 0/50-Batch: 1596/1875--D.loss:0.1057,G.loss:0.3673\n",
            "Epoch: 0/50-Batch: 1597/1875--D.loss:0.0901,G.loss:0.7613\n",
            "Epoch: 0/50-Batch: 1598/1875--D.loss:0.0725,G.loss:0.8096\n",
            "Epoch: 0/50-Batch: 1599/1875--D.loss:0.0985,G.loss:0.4993\n",
            "Epoch: 0/50-Batch: 1600/1875--D.loss:0.0820,G.loss:0.6385\n",
            "Epoch: 0/50-Batch: 1601/1875--D.loss:0.1039,G.loss:0.6266\n",
            "Epoch: 0/50-Batch: 1602/1875--D.loss:0.0883,G.loss:0.6464\n",
            "Epoch: 0/50-Batch: 1603/1875--D.loss:0.0824,G.loss:0.7206\n",
            "Epoch: 0/50-Batch: 1604/1875--D.loss:0.1101,G.loss:0.4618\n",
            "Epoch: 0/50-Batch: 1605/1875--D.loss:0.1743,G.loss:1.0764\n",
            "Epoch: 0/50-Batch: 1606/1875--D.loss:0.3217,G.loss:0.1251\n",
            "Epoch: 0/50-Batch: 1607/1875--D.loss:0.1886,G.loss:1.1571\n",
            "Epoch: 0/50-Batch: 1608/1875--D.loss:0.1247,G.loss:0.4493\n",
            "Epoch: 0/50-Batch: 1609/1875--D.loss:0.1215,G.loss:0.4189\n",
            "Epoch: 0/50-Batch: 1610/1875--D.loss:0.1448,G.loss:0.8886\n",
            "Epoch: 0/50-Batch: 1611/1875--D.loss:0.1317,G.loss:0.4889\n",
            "Epoch: 0/50-Batch: 1612/1875--D.loss:0.1158,G.loss:0.4628\n",
            "Epoch: 0/50-Batch: 1613/1875--D.loss:0.0786,G.loss:0.6541\n",
            "Epoch: 0/50-Batch: 1614/1875--D.loss:0.0811,G.loss:0.7211\n",
            "Epoch: 0/50-Batch: 1615/1875--D.loss:0.0998,G.loss:0.5660\n",
            "Epoch: 0/50-Batch: 1616/1875--D.loss:0.1252,G.loss:0.5389\n",
            "Epoch: 0/50-Batch: 1617/1875--D.loss:0.0897,G.loss:0.4478\n",
            "Epoch: 0/50-Batch: 1618/1875--D.loss:0.0793,G.loss:0.7047\n",
            "Epoch: 0/50-Batch: 1619/1875--D.loss:0.0828,G.loss:0.5239\n",
            "Epoch: 0/50-Batch: 1620/1875--D.loss:0.0734,G.loss:0.6564\n",
            "Epoch: 0/50-Batch: 1621/1875--D.loss:0.0877,G.loss:0.5584\n",
            "Epoch: 0/50-Batch: 1622/1875--D.loss:0.1228,G.loss:0.7874\n",
            "Epoch: 0/50-Batch: 1623/1875--D.loss:0.1766,G.loss:0.2784\n",
            "Epoch: 0/50-Batch: 1624/1875--D.loss:0.2230,G.loss:1.3966\n",
            "Epoch: 0/50-Batch: 1625/1875--D.loss:0.1414,G.loss:0.3452\n",
            "Epoch: 0/50-Batch: 1626/1875--D.loss:0.1144,G.loss:0.5194\n",
            "Epoch: 0/50-Batch: 1627/1875--D.loss:0.1218,G.loss:0.7259\n",
            "Epoch: 0/50-Batch: 1628/1875--D.loss:0.0826,G.loss:0.6302\n",
            "Epoch: 0/50-Batch: 1629/1875--D.loss:0.1236,G.loss:0.4677\n",
            "Epoch: 0/50-Batch: 1630/1875--D.loss:0.1070,G.loss:0.5630\n",
            "Epoch: 0/50-Batch: 1631/1875--D.loss:0.1120,G.loss:0.8294\n",
            "Epoch: 0/50-Batch: 1632/1875--D.loss:0.1196,G.loss:0.4073\n",
            "Epoch: 0/50-Batch: 1633/1875--D.loss:0.0843,G.loss:0.6140\n",
            "Epoch: 0/50-Batch: 1634/1875--D.loss:0.0948,G.loss:0.6937\n",
            "Epoch: 0/50-Batch: 1635/1875--D.loss:0.0973,G.loss:0.6182\n",
            "Epoch: 0/50-Batch: 1636/1875--D.loss:0.1202,G.loss:0.8549\n",
            "Epoch: 0/50-Batch: 1637/1875--D.loss:0.1138,G.loss:0.4319\n",
            "Epoch: 0/50-Batch: 1638/1875--D.loss:0.1095,G.loss:0.6424\n",
            "Epoch: 0/50-Batch: 1639/1875--D.loss:0.1002,G.loss:0.5525\n",
            "Epoch: 0/50-Batch: 1640/1875--D.loss:0.0994,G.loss:0.5969\n",
            "Epoch: 0/50-Batch: 1641/1875--D.loss:0.1093,G.loss:0.7316\n",
            "Epoch: 0/50-Batch: 1642/1875--D.loss:0.0993,G.loss:0.5807\n",
            "Epoch: 0/50-Batch: 1643/1875--D.loss:0.0889,G.loss:0.5596\n",
            "Epoch: 0/50-Batch: 1644/1875--D.loss:0.1109,G.loss:0.7589\n",
            "Epoch: 0/50-Batch: 1645/1875--D.loss:0.1187,G.loss:0.3573\n",
            "Epoch: 0/50-Batch: 1646/1875--D.loss:0.1883,G.loss:1.2871\n",
            "Epoch: 0/50-Batch: 1647/1875--D.loss:0.2292,G.loss:0.1419\n",
            "Epoch: 0/50-Batch: 1648/1875--D.loss:0.1508,G.loss:0.9758\n",
            "Epoch: 0/50-Batch: 1649/1875--D.loss:0.0946,G.loss:0.6156\n",
            "Epoch: 0/50-Batch: 1650/1875--D.loss:0.1215,G.loss:0.6418\n",
            "Epoch: 0/50-Batch: 1651/1875--D.loss:0.1073,G.loss:0.4528\n",
            "Epoch: 0/50-Batch: 1652/1875--D.loss:0.1028,G.loss:0.5232\n",
            "Epoch: 0/50-Batch: 1653/1875--D.loss:0.1166,G.loss:0.8129\n",
            "Epoch: 0/50-Batch: 1654/1875--D.loss:0.1124,G.loss:0.3902\n",
            "Epoch: 0/50-Batch: 1655/1875--D.loss:0.0813,G.loss:0.8180\n",
            "Epoch: 0/50-Batch: 1656/1875--D.loss:0.0800,G.loss:0.6345\n",
            "Epoch: 0/50-Batch: 1657/1875--D.loss:0.0797,G.loss:0.4660\n",
            "Epoch: 0/50-Batch: 1658/1875--D.loss:0.0928,G.loss:0.8507\n",
            "Epoch: 0/50-Batch: 1659/1875--D.loss:0.0764,G.loss:0.6335\n",
            "Epoch: 0/50-Batch: 1660/1875--D.loss:0.0683,G.loss:0.5471\n",
            "Epoch: 0/50-Batch: 1661/1875--D.loss:0.0853,G.loss:0.6498\n",
            "Epoch: 0/50-Batch: 1662/1875--D.loss:0.0707,G.loss:0.5182\n",
            "Epoch: 0/50-Batch: 1663/1875--D.loss:0.0967,G.loss:0.6914\n",
            "Epoch: 0/50-Batch: 1664/1875--D.loss:0.0541,G.loss:0.7922\n",
            "Epoch: 0/50-Batch: 1665/1875--D.loss:0.0804,G.loss:0.6671\n",
            "Epoch: 0/50-Batch: 1666/1875--D.loss:0.1005,G.loss:0.5571\n",
            "Epoch: 0/50-Batch: 1667/1875--D.loss:0.1227,G.loss:0.4970\n",
            "Epoch: 0/50-Batch: 1668/1875--D.loss:0.0765,G.loss:0.9679\n",
            "Epoch: 0/50-Batch: 1669/1875--D.loss:0.0922,G.loss:0.6735\n",
            "Epoch: 0/50-Batch: 1670/1875--D.loss:0.0829,G.loss:0.7557\n",
            "Epoch: 0/50-Batch: 1671/1875--D.loss:0.0963,G.loss:0.7067\n",
            "Epoch: 0/50-Batch: 1672/1875--D.loss:0.0732,G.loss:0.7139\n",
            "Epoch: 0/50-Batch: 1673/1875--D.loss:0.0920,G.loss:0.6130\n",
            "Epoch: 0/50-Batch: 1674/1875--D.loss:0.0752,G.loss:0.5576\n",
            "Epoch: 0/50-Batch: 1675/1875--D.loss:0.0693,G.loss:0.7047\n",
            "Epoch: 0/50-Batch: 1676/1875--D.loss:0.0921,G.loss:1.1119\n",
            "Epoch: 0/50-Batch: 1677/1875--D.loss:0.1969,G.loss:0.3043\n",
            "Epoch: 0/50-Batch: 1678/1875--D.loss:0.2001,G.loss:1.2454\n",
            "Epoch: 0/50-Batch: 1679/1875--D.loss:0.2045,G.loss:0.2791\n",
            "Epoch: 0/50-Batch: 1680/1875--D.loss:0.0737,G.loss:0.8402\n",
            "Epoch: 0/50-Batch: 1681/1875--D.loss:0.1398,G.loss:0.9711\n",
            "Epoch: 0/50-Batch: 1682/1875--D.loss:0.1163,G.loss:0.3706\n",
            "Epoch: 0/50-Batch: 1683/1875--D.loss:0.0678,G.loss:0.6681\n",
            "Epoch: 0/50-Batch: 1684/1875--D.loss:0.0658,G.loss:0.6602\n",
            "Epoch: 0/50-Batch: 1685/1875--D.loss:0.0548,G.loss:0.7326\n",
            "Epoch: 0/50-Batch: 1686/1875--D.loss:0.0578,G.loss:0.7247\n",
            "Epoch: 0/50-Batch: 1687/1875--D.loss:0.0603,G.loss:0.7830\n",
            "Epoch: 0/50-Batch: 1688/1875--D.loss:0.0591,G.loss:0.6495\n",
            "Epoch: 0/50-Batch: 1689/1875--D.loss:0.0593,G.loss:0.7885\n",
            "Epoch: 0/50-Batch: 1690/1875--D.loss:0.0625,G.loss:0.8098\n",
            "Epoch: 0/50-Batch: 1691/1875--D.loss:0.0710,G.loss:0.5984\n",
            "Epoch: 0/50-Batch: 1692/1875--D.loss:0.0679,G.loss:0.6623\n",
            "Epoch: 0/50-Batch: 1693/1875--D.loss:0.0544,G.loss:0.6871\n",
            "Epoch: 0/50-Batch: 1694/1875--D.loss:0.0848,G.loss:0.6403\n",
            "Epoch: 0/50-Batch: 1695/1875--D.loss:0.0894,G.loss:0.7747\n",
            "Epoch: 0/50-Batch: 1696/1875--D.loss:0.0972,G.loss:0.4408\n",
            "Epoch: 0/50-Batch: 1697/1875--D.loss:0.1632,G.loss:1.2001\n",
            "Epoch: 0/50-Batch: 1698/1875--D.loss:0.3754,G.loss:0.0793\n",
            "Epoch: 0/50-Batch: 1699/1875--D.loss:0.3049,G.loss:1.5809\n",
            "Epoch: 0/50-Batch: 1700/1875--D.loss:0.0969,G.loss:0.5308\n",
            "Epoch: 0/50-Batch: 1701/1875--D.loss:0.1357,G.loss:0.3446\n",
            "Epoch: 0/50-Batch: 1702/1875--D.loss:0.1062,G.loss:0.5509\n",
            "Epoch: 0/50-Batch: 1703/1875--D.loss:0.1081,G.loss:0.7012\n",
            "Epoch: 0/50-Batch: 1704/1875--D.loss:0.1135,G.loss:0.5612\n",
            "Epoch: 0/50-Batch: 1705/1875--D.loss:0.0888,G.loss:0.4726\n",
            "Epoch: 0/50-Batch: 1706/1875--D.loss:0.0683,G.loss:0.7464\n",
            "Epoch: 0/50-Batch: 1707/1875--D.loss:0.0787,G.loss:0.7516\n",
            "Epoch: 0/50-Batch: 1708/1875--D.loss:0.0722,G.loss:0.6308\n",
            "Epoch: 0/50-Batch: 1709/1875--D.loss:0.0738,G.loss:0.6388\n",
            "Epoch: 0/50-Batch: 1710/1875--D.loss:0.0780,G.loss:0.8041\n",
            "Epoch: 0/50-Batch: 1711/1875--D.loss:0.0601,G.loss:0.6961\n",
            "Epoch: 0/50-Batch: 1712/1875--D.loss:0.0809,G.loss:0.8714\n",
            "Epoch: 0/50-Batch: 1713/1875--D.loss:0.0878,G.loss:0.4538\n",
            "Epoch: 0/50-Batch: 1714/1875--D.loss:0.0839,G.loss:0.7112\n",
            "Epoch: 0/50-Batch: 1715/1875--D.loss:0.0967,G.loss:0.8602\n",
            "Epoch: 0/50-Batch: 1716/1875--D.loss:0.1575,G.loss:0.3286\n",
            "Epoch: 0/50-Batch: 1717/1875--D.loss:0.1064,G.loss:0.8338\n",
            "Epoch: 0/50-Batch: 1718/1875--D.loss:0.0920,G.loss:0.5812\n",
            "Epoch: 0/50-Batch: 1719/1875--D.loss:0.0930,G.loss:0.4827\n",
            "Epoch: 0/50-Batch: 1720/1875--D.loss:0.0774,G.loss:0.8515\n",
            "Epoch: 0/50-Batch: 1721/1875--D.loss:0.0740,G.loss:0.7162\n",
            "Epoch: 0/50-Batch: 1722/1875--D.loss:0.1130,G.loss:0.4673\n",
            "Epoch: 0/50-Batch: 1723/1875--D.loss:0.0658,G.loss:0.8911\n",
            "Epoch: 0/50-Batch: 1724/1875--D.loss:0.0904,G.loss:0.6163\n",
            "Epoch: 0/50-Batch: 1725/1875--D.loss:0.0927,G.loss:0.5687\n",
            "Epoch: 0/50-Batch: 1726/1875--D.loss:0.0850,G.loss:0.9590\n",
            "Epoch: 0/50-Batch: 1727/1875--D.loss:0.1273,G.loss:0.4149\n",
            "Epoch: 0/50-Batch: 1728/1875--D.loss:0.0615,G.loss:0.9186\n",
            "Epoch: 0/50-Batch: 1729/1875--D.loss:0.1063,G.loss:0.5504\n",
            "Epoch: 0/50-Batch: 1730/1875--D.loss:0.0969,G.loss:0.7808\n",
            "Epoch: 0/50-Batch: 1731/1875--D.loss:0.1132,G.loss:0.5124\n",
            "Epoch: 0/50-Batch: 1732/1875--D.loss:0.1131,G.loss:0.8827\n",
            "Epoch: 0/50-Batch: 1733/1875--D.loss:0.1601,G.loss:0.3089\n",
            "Epoch: 0/50-Batch: 1734/1875--D.loss:0.1532,G.loss:1.3275\n",
            "Epoch: 0/50-Batch: 1735/1875--D.loss:0.1281,G.loss:0.3988\n",
            "Epoch: 0/50-Batch: 1736/1875--D.loss:0.1045,G.loss:0.6829\n",
            "Epoch: 0/50-Batch: 1737/1875--D.loss:0.1063,G.loss:0.8024\n",
            "Epoch: 0/50-Batch: 1738/1875--D.loss:0.1186,G.loss:0.3716\n",
            "Epoch: 0/50-Batch: 1739/1875--D.loss:0.0961,G.loss:0.7797\n",
            "Epoch: 0/50-Batch: 1740/1875--D.loss:0.0959,G.loss:0.7705\n",
            "Epoch: 0/50-Batch: 1741/1875--D.loss:0.0925,G.loss:0.5544\n",
            "Epoch: 0/50-Batch: 1742/1875--D.loss:0.0745,G.loss:0.8579\n",
            "Epoch: 0/50-Batch: 1743/1875--D.loss:0.0895,G.loss:0.5613\n",
            "Epoch: 0/50-Batch: 1744/1875--D.loss:0.0884,G.loss:0.8341\n",
            "Epoch: 0/50-Batch: 1745/1875--D.loss:0.0669,G.loss:0.6394\n",
            "Epoch: 0/50-Batch: 1746/1875--D.loss:0.0807,G.loss:0.6847\n",
            "Epoch: 0/50-Batch: 1747/1875--D.loss:0.0764,G.loss:0.8853\n",
            "Epoch: 0/50-Batch: 1748/1875--D.loss:0.0768,G.loss:0.5233\n",
            "Epoch: 0/50-Batch: 1749/1875--D.loss:0.1013,G.loss:1.0802\n",
            "Epoch: 0/50-Batch: 1750/1875--D.loss:0.1419,G.loss:0.4015\n",
            "Epoch: 0/50-Batch: 1751/1875--D.loss:0.0705,G.loss:0.9271\n",
            "Epoch: 0/50-Batch: 1752/1875--D.loss:0.0722,G.loss:0.6426\n",
            "Epoch: 0/50-Batch: 1753/1875--D.loss:0.1095,G.loss:0.5699\n",
            "Epoch: 0/50-Batch: 1754/1875--D.loss:0.0882,G.loss:0.7843\n",
            "Epoch: 0/50-Batch: 1755/1875--D.loss:0.1361,G.loss:0.3572\n",
            "Epoch: 0/50-Batch: 1756/1875--D.loss:0.1913,G.loss:1.4128\n",
            "Epoch: 0/50-Batch: 1757/1875--D.loss:0.2447,G.loss:0.1794\n",
            "Epoch: 0/50-Batch: 1758/1875--D.loss:0.1361,G.loss:0.9230\n",
            "Epoch: 0/50-Batch: 1759/1875--D.loss:0.0848,G.loss:0.7475\n",
            "Epoch: 0/50-Batch: 1760/1875--D.loss:0.0831,G.loss:0.5018\n",
            "Epoch: 0/50-Batch: 1761/1875--D.loss:0.1142,G.loss:0.6236\n",
            "Epoch: 0/50-Batch: 1762/1875--D.loss:0.0838,G.loss:0.6563\n",
            "Epoch: 0/50-Batch: 1763/1875--D.loss:0.0965,G.loss:0.6143\n",
            "Epoch: 0/50-Batch: 1764/1875--D.loss:0.0965,G.loss:0.4419\n",
            "Epoch: 0/50-Batch: 1765/1875--D.loss:0.0946,G.loss:0.7163\n",
            "Epoch: 0/50-Batch: 1766/1875--D.loss:0.0838,G.loss:0.6470\n",
            "Epoch: 0/50-Batch: 1767/1875--D.loss:0.0549,G.loss:0.7641\n",
            "Epoch: 0/50-Batch: 1768/1875--D.loss:0.0966,G.loss:0.5467\n",
            "Epoch: 0/50-Batch: 1769/1875--D.loss:0.0982,G.loss:0.9567\n",
            "Epoch: 0/50-Batch: 1770/1875--D.loss:0.1093,G.loss:0.4802\n",
            "Epoch: 0/50-Batch: 1771/1875--D.loss:0.0886,G.loss:0.6963\n",
            "Epoch: 0/50-Batch: 1772/1875--D.loss:0.0642,G.loss:0.5904\n",
            "Epoch: 0/50-Batch: 1773/1875--D.loss:0.0767,G.loss:0.7819\n",
            "Epoch: 0/50-Batch: 1774/1875--D.loss:0.0769,G.loss:0.7115\n",
            "Epoch: 0/50-Batch: 1775/1875--D.loss:0.1237,G.loss:0.3543\n",
            "Epoch: 0/50-Batch: 1776/1875--D.loss:0.1694,G.loss:1.1886\n",
            "Epoch: 0/50-Batch: 1777/1875--D.loss:0.1810,G.loss:0.2798\n",
            "Epoch: 0/50-Batch: 1778/1875--D.loss:0.1066,G.loss:0.9099\n",
            "Epoch: 0/50-Batch: 1779/1875--D.loss:0.0813,G.loss:0.5629\n",
            "Epoch: 0/50-Batch: 1780/1875--D.loss:0.1286,G.loss:0.4358\n",
            "Epoch: 0/50-Batch: 1781/1875--D.loss:0.0803,G.loss:0.8887\n",
            "Epoch: 0/50-Batch: 1782/1875--D.loss:0.0769,G.loss:0.6970\n",
            "Epoch: 0/50-Batch: 1783/1875--D.loss:0.0994,G.loss:0.4675\n",
            "Epoch: 0/50-Batch: 1784/1875--D.loss:0.0858,G.loss:0.7064\n",
            "Epoch: 0/50-Batch: 1785/1875--D.loss:0.0761,G.loss:0.7099\n",
            "Epoch: 0/50-Batch: 1786/1875--D.loss:0.0898,G.loss:0.5197\n",
            "Epoch: 0/50-Batch: 1787/1875--D.loss:0.0876,G.loss:0.7304\n",
            "Epoch: 0/50-Batch: 1788/1875--D.loss:0.1157,G.loss:0.6960\n",
            "Epoch: 0/50-Batch: 1789/1875--D.loss:0.0778,G.loss:0.5486\n",
            "Epoch: 0/50-Batch: 1790/1875--D.loss:0.0808,G.loss:0.7986\n",
            "Epoch: 0/50-Batch: 1791/1875--D.loss:0.0773,G.loss:0.7247\n",
            "Epoch: 0/50-Batch: 1792/1875--D.loss:0.0791,G.loss:0.7142\n",
            "Epoch: 0/50-Batch: 1793/1875--D.loss:0.0801,G.loss:0.5599\n",
            "Epoch: 0/50-Batch: 1794/1875--D.loss:0.1765,G.loss:1.0134\n",
            "Epoch: 0/50-Batch: 1795/1875--D.loss:0.2396,G.loss:0.1900\n",
            "Epoch: 0/50-Batch: 1796/1875--D.loss:0.1547,G.loss:1.1367\n",
            "Epoch: 0/50-Batch: 1797/1875--D.loss:0.1237,G.loss:0.4986\n",
            "Epoch: 0/50-Batch: 1798/1875--D.loss:0.1166,G.loss:0.4756\n",
            "Epoch: 0/50-Batch: 1799/1875--D.loss:0.1111,G.loss:0.7039\n",
            "Epoch: 0/50-Batch: 1800/1875--D.loss:0.0810,G.loss:0.5727\n",
            "Epoch: 0/50-Batch: 1801/1875--D.loss:0.0797,G.loss:0.6430\n",
            "Epoch: 0/50-Batch: 1802/1875--D.loss:0.0791,G.loss:0.5800\n",
            "Epoch: 0/50-Batch: 1803/1875--D.loss:0.0662,G.loss:0.6531\n",
            "Epoch: 0/50-Batch: 1804/1875--D.loss:0.1204,G.loss:0.7325\n",
            "Epoch: 0/50-Batch: 1805/1875--D.loss:0.1053,G.loss:0.4405\n",
            "Epoch: 0/50-Batch: 1806/1875--D.loss:0.0788,G.loss:0.8582\n",
            "Epoch: 0/50-Batch: 1807/1875--D.loss:0.1072,G.loss:0.8828\n",
            "Epoch: 0/50-Batch: 1808/1875--D.loss:0.1282,G.loss:0.3550\n",
            "Epoch: 0/50-Batch: 1809/1875--D.loss:0.1010,G.loss:0.9368\n",
            "Epoch: 0/50-Batch: 1810/1875--D.loss:0.0874,G.loss:0.5704\n",
            "Epoch: 0/50-Batch: 1811/1875--D.loss:0.0757,G.loss:0.6874\n",
            "Epoch: 0/50-Batch: 1812/1875--D.loss:0.0914,G.loss:0.8853\n",
            "Epoch: 0/50-Batch: 1813/1875--D.loss:0.1096,G.loss:0.4983\n",
            "Epoch: 0/50-Batch: 1814/1875--D.loss:0.1059,G.loss:0.5833\n",
            "Epoch: 0/50-Batch: 1815/1875--D.loss:0.1376,G.loss:1.0897\n",
            "Epoch: 0/50-Batch: 1816/1875--D.loss:0.2179,G.loss:0.2161\n",
            "Epoch: 0/50-Batch: 1817/1875--D.loss:0.1229,G.loss:1.0991\n",
            "Epoch: 0/50-Batch: 1818/1875--D.loss:0.0867,G.loss:0.5554\n",
            "Epoch: 0/50-Batch: 1819/1875--D.loss:0.1063,G.loss:0.5995\n",
            "Epoch: 0/50-Batch: 1820/1875--D.loss:0.1074,G.loss:0.6257\n",
            "Epoch: 0/50-Batch: 1821/1875--D.loss:0.1007,G.loss:0.5729\n",
            "Epoch: 0/50-Batch: 1822/1875--D.loss:0.0724,G.loss:0.7902\n",
            "Epoch: 0/50-Batch: 1823/1875--D.loss:0.0787,G.loss:0.6719\n",
            "Epoch: 0/50-Batch: 1824/1875--D.loss:0.1210,G.loss:0.5179\n",
            "Epoch: 0/50-Batch: 1825/1875--D.loss:0.0863,G.loss:0.6432\n",
            "Epoch: 0/50-Batch: 1826/1875--D.loss:0.1129,G.loss:0.8839\n",
            "Epoch: 0/50-Batch: 1827/1875--D.loss:0.1351,G.loss:0.2996\n",
            "Epoch: 0/50-Batch: 1828/1875--D.loss:0.1164,G.loss:1.0058\n",
            "Epoch: 0/50-Batch: 1829/1875--D.loss:0.0954,G.loss:0.5187\n",
            "Epoch: 0/50-Batch: 1830/1875--D.loss:0.1293,G.loss:0.5486\n",
            "Epoch: 0/50-Batch: 1831/1875--D.loss:0.1227,G.loss:0.7253\n",
            "Epoch: 0/50-Batch: 1832/1875--D.loss:0.1274,G.loss:0.4764\n",
            "Epoch: 0/50-Batch: 1833/1875--D.loss:0.0952,G.loss:0.6553\n",
            "Epoch: 0/50-Batch: 1834/1875--D.loss:0.1003,G.loss:0.6151\n",
            "Epoch: 0/50-Batch: 1835/1875--D.loss:0.1092,G.loss:0.5207\n",
            "Epoch: 0/50-Batch: 1836/1875--D.loss:0.1414,G.loss:0.6346\n",
            "Epoch: 0/50-Batch: 1837/1875--D.loss:0.1349,G.loss:0.3437\n",
            "Epoch: 0/50-Batch: 1838/1875--D.loss:0.1063,G.loss:1.0558\n",
            "Epoch: 0/50-Batch: 1839/1875--D.loss:0.1029,G.loss:0.4908\n",
            "Epoch: 0/50-Batch: 1840/1875--D.loss:0.0858,G.loss:0.5921\n",
            "Epoch: 0/50-Batch: 1841/1875--D.loss:0.1052,G.loss:0.6309\n",
            "Epoch: 0/50-Batch: 1842/1875--D.loss:0.0831,G.loss:0.5082\n",
            "Epoch: 0/50-Batch: 1843/1875--D.loss:0.1431,G.loss:0.8824\n",
            "Epoch: 0/50-Batch: 1844/1875--D.loss:0.2310,G.loss:0.2070\n",
            "Epoch: 0/50-Batch: 1845/1875--D.loss:0.1885,G.loss:1.2547\n",
            "Epoch: 0/50-Batch: 1846/1875--D.loss:0.0829,G.loss:0.6002\n",
            "Epoch: 0/50-Batch: 1847/1875--D.loss:0.0994,G.loss:0.4521\n",
            "Epoch: 0/50-Batch: 1848/1875--D.loss:0.0772,G.loss:0.6581\n",
            "Epoch: 0/50-Batch: 1849/1875--D.loss:0.0703,G.loss:0.6933\n",
            "Epoch: 0/50-Batch: 1850/1875--D.loss:0.0630,G.loss:0.6859\n",
            "Epoch: 0/50-Batch: 1851/1875--D.loss:0.0658,G.loss:0.7490\n",
            "Epoch: 0/50-Batch: 1852/1875--D.loss:0.0662,G.loss:0.8327\n",
            "Epoch: 0/50-Batch: 1853/1875--D.loss:0.1079,G.loss:0.5694\n",
            "Epoch: 0/50-Batch: 1854/1875--D.loss:0.0879,G.loss:0.7109\n",
            "Epoch: 0/50-Batch: 1855/1875--D.loss:0.1284,G.loss:0.3563\n",
            "Epoch: 0/50-Batch: 1856/1875--D.loss:0.1567,G.loss:1.1976\n",
            "Epoch: 0/50-Batch: 1857/1875--D.loss:0.1735,G.loss:0.2611\n",
            "Epoch: 0/50-Batch: 1858/1875--D.loss:0.1124,G.loss:0.9158\n",
            "Epoch: 0/50-Batch: 1859/1875--D.loss:0.1122,G.loss:0.6384\n",
            "Epoch: 0/50-Batch: 1860/1875--D.loss:0.1026,G.loss:0.4443\n",
            "Epoch: 0/50-Batch: 1861/1875--D.loss:0.0798,G.loss:0.8308\n",
            "Epoch: 0/50-Batch: 1862/1875--D.loss:0.0623,G.loss:0.7015\n",
            "Epoch: 0/50-Batch: 1863/1875--D.loss:0.0919,G.loss:0.6135\n",
            "Epoch: 0/50-Batch: 1864/1875--D.loss:0.0747,G.loss:0.6744\n",
            "Epoch: 0/50-Batch: 1865/1875--D.loss:0.0869,G.loss:0.6811\n",
            "Epoch: 0/50-Batch: 1866/1875--D.loss:0.1199,G.loss:0.8235\n",
            "Epoch: 0/50-Batch: 1867/1875--D.loss:0.1352,G.loss:0.3416\n",
            "Epoch: 0/50-Batch: 1868/1875--D.loss:0.0809,G.loss:0.7534\n",
            "Epoch: 0/50-Batch: 1869/1875--D.loss:0.0773,G.loss:0.7802\n",
            "Epoch: 0/50-Batch: 1870/1875--D.loss:0.0965,G.loss:0.5337\n",
            "Epoch: 0/50-Batch: 1871/1875--D.loss:0.0883,G.loss:0.8921\n",
            "Epoch: 0/50-Batch: 1872/1875--D.loss:0.1006,G.loss:0.5210\n",
            "Epoch: 0/50-Batch: 1873/1875--D.loss:0.0999,G.loss:0.9542\n",
            "Epoch: 0/50-Batch: 1874/1875--D.loss:0.1289,G.loss:0.3512\n",
            "Epoch: 1/50-Batch: 0/1875--D.loss:0.1851,G.loss:1.1852\n",
            "Epoch: 1/50-Batch: 1/1875--D.loss:0.1863,G.loss:0.2509\n",
            "Epoch: 1/50-Batch: 2/1875--D.loss:0.1611,G.loss:1.1842\n",
            "Epoch: 1/50-Batch: 3/1875--D.loss:0.1263,G.loss:0.4229\n",
            "Epoch: 1/50-Batch: 4/1875--D.loss:0.1284,G.loss:0.5472\n",
            "Epoch: 1/50-Batch: 5/1875--D.loss:0.0995,G.loss:0.6648\n",
            "Epoch: 1/50-Batch: 6/1875--D.loss:0.0867,G.loss:0.6060\n",
            "Epoch: 1/50-Batch: 7/1875--D.loss:0.0825,G.loss:0.5942\n",
            "Epoch: 1/50-Batch: 8/1875--D.loss:0.0938,G.loss:0.6916\n",
            "Epoch: 1/50-Batch: 9/1875--D.loss:0.0854,G.loss:0.5589\n",
            "Epoch: 1/50-Batch: 10/1875--D.loss:0.0913,G.loss:0.6877\n",
            "Epoch: 1/50-Batch: 11/1875--D.loss:0.0744,G.loss:0.6242\n",
            "Epoch: 1/50-Batch: 12/1875--D.loss:0.1055,G.loss:0.8830\n",
            "Epoch: 1/50-Batch: 13/1875--D.loss:0.1376,G.loss:0.4451\n",
            "Epoch: 1/50-Batch: 14/1875--D.loss:0.1324,G.loss:1.1571\n",
            "Epoch: 1/50-Batch: 15/1875--D.loss:0.1109,G.loss:0.3870\n",
            "Epoch: 1/50-Batch: 16/1875--D.loss:0.0945,G.loss:0.6365\n",
            "Epoch: 1/50-Batch: 17/1875--D.loss:0.1082,G.loss:0.7447\n",
            "Epoch: 1/50-Batch: 18/1875--D.loss:0.0943,G.loss:0.5153\n",
            "Epoch: 1/50-Batch: 19/1875--D.loss:0.0750,G.loss:0.6898\n",
            "Epoch: 1/50-Batch: 20/1875--D.loss:0.1192,G.loss:0.8774\n",
            "Epoch: 1/50-Batch: 21/1875--D.loss:0.1434,G.loss:0.3066\n",
            "Epoch: 1/50-Batch: 22/1875--D.loss:0.1113,G.loss:0.9624\n",
            "Epoch: 1/50-Batch: 23/1875--D.loss:0.0828,G.loss:0.7370\n",
            "Epoch: 1/50-Batch: 24/1875--D.loss:0.1086,G.loss:0.4573\n",
            "Epoch: 1/50-Batch: 25/1875--D.loss:0.0796,G.loss:0.8495\n",
            "Epoch: 1/50-Batch: 26/1875--D.loss:0.0812,G.loss:0.5873\n",
            "Epoch: 1/50-Batch: 27/1875--D.loss:0.0633,G.loss:0.6392\n",
            "Epoch: 1/50-Batch: 28/1875--D.loss:0.0925,G.loss:0.7013\n",
            "Epoch: 1/50-Batch: 29/1875--D.loss:0.0893,G.loss:0.5418\n",
            "Epoch: 1/50-Batch: 30/1875--D.loss:0.1171,G.loss:0.9031\n",
            "Epoch: 1/50-Batch: 31/1875--D.loss:0.0962,G.loss:0.5560\n",
            "Epoch: 1/50-Batch: 32/1875--D.loss:0.1398,G.loss:0.4088\n",
            "Epoch: 1/50-Batch: 33/1875--D.loss:0.1859,G.loss:1.2070\n",
            "Epoch: 1/50-Batch: 34/1875--D.loss:0.2304,G.loss:0.2816\n",
            "Epoch: 1/50-Batch: 35/1875--D.loss:0.1174,G.loss:0.8903\n",
            "Epoch: 1/50-Batch: 36/1875--D.loss:0.0892,G.loss:0.6776\n",
            "Epoch: 1/50-Batch: 37/1875--D.loss:0.1117,G.loss:0.4023\n",
            "Epoch: 1/50-Batch: 38/1875--D.loss:0.0856,G.loss:0.8144\n",
            "Epoch: 1/50-Batch: 39/1875--D.loss:0.0737,G.loss:0.5969\n",
            "Epoch: 1/50-Batch: 40/1875--D.loss:0.0954,G.loss:0.6282\n",
            "Epoch: 1/50-Batch: 41/1875--D.loss:0.1045,G.loss:0.4921\n",
            "Epoch: 1/50-Batch: 42/1875--D.loss:0.0669,G.loss:1.0357\n",
            "Epoch: 1/50-Batch: 43/1875--D.loss:0.0809,G.loss:0.7099\n",
            "Epoch: 1/50-Batch: 44/1875--D.loss:0.0982,G.loss:0.3784\n",
            "Epoch: 1/50-Batch: 45/1875--D.loss:0.1166,G.loss:0.9525\n",
            "Epoch: 1/50-Batch: 46/1875--D.loss:0.0984,G.loss:0.5569\n",
            "Epoch: 1/50-Batch: 47/1875--D.loss:0.0709,G.loss:0.8105\n",
            "Epoch: 1/50-Batch: 48/1875--D.loss:0.0841,G.loss:0.6204\n",
            "Epoch: 1/50-Batch: 49/1875--D.loss:0.0783,G.loss:0.6020\n",
            "Epoch: 1/50-Batch: 50/1875--D.loss:0.0676,G.loss:0.7456\n",
            "Epoch: 1/50-Batch: 51/1875--D.loss:0.0664,G.loss:0.6330\n",
            "Epoch: 1/50-Batch: 52/1875--D.loss:0.1126,G.loss:0.8811\n",
            "Epoch: 1/50-Batch: 53/1875--D.loss:0.1173,G.loss:0.4137\n",
            "Epoch: 1/50-Batch: 54/1875--D.loss:0.1729,G.loss:1.2423\n",
            "Epoch: 1/50-Batch: 55/1875--D.loss:0.2432,G.loss:0.1705\n",
            "Epoch: 1/50-Batch: 56/1875--D.loss:0.1209,G.loss:1.0578\n",
            "Epoch: 1/50-Batch: 57/1875--D.loss:0.1063,G.loss:0.7080\n",
            "Epoch: 1/50-Batch: 58/1875--D.loss:0.1171,G.loss:0.4223\n",
            "Epoch: 1/50-Batch: 59/1875--D.loss:0.1289,G.loss:0.4705\n",
            "Epoch: 1/50-Batch: 60/1875--D.loss:0.0830,G.loss:0.9427\n",
            "Epoch: 1/50-Batch: 61/1875--D.loss:0.1011,G.loss:0.7735\n",
            "Epoch: 1/50-Batch: 62/1875--D.loss:0.0971,G.loss:0.4360\n",
            "Epoch: 1/50-Batch: 63/1875--D.loss:0.0822,G.loss:0.7244\n",
            "Epoch: 1/50-Batch: 64/1875--D.loss:0.0977,G.loss:0.9169\n",
            "Epoch: 1/50-Batch: 65/1875--D.loss:0.0987,G.loss:0.4510\n",
            "Epoch: 1/50-Batch: 66/1875--D.loss:0.0867,G.loss:0.9098\n",
            "Epoch: 1/50-Batch: 67/1875--D.loss:0.0895,G.loss:0.6581\n",
            "Epoch: 1/50-Batch: 68/1875--D.loss:0.0928,G.loss:0.5645\n",
            "Epoch: 1/50-Batch: 69/1875--D.loss:0.1028,G.loss:0.4944\n",
            "Epoch: 1/50-Batch: 70/1875--D.loss:0.1039,G.loss:0.8670\n",
            "Epoch: 1/50-Batch: 71/1875--D.loss:0.0938,G.loss:0.4897\n",
            "Epoch: 1/50-Batch: 72/1875--D.loss:0.1065,G.loss:0.9084\n",
            "Epoch: 1/50-Batch: 73/1875--D.loss:0.0906,G.loss:0.4723\n",
            "Epoch: 1/50-Batch: 74/1875--D.loss:0.0673,G.loss:0.8044\n",
            "Epoch: 1/50-Batch: 75/1875--D.loss:0.0724,G.loss:0.6192\n",
            "Epoch: 1/50-Batch: 76/1875--D.loss:0.0918,G.loss:0.7068\n",
            "Epoch: 1/50-Batch: 77/1875--D.loss:0.0950,G.loss:0.5645\n",
            "Epoch: 1/50-Batch: 78/1875--D.loss:0.0632,G.loss:0.8342\n",
            "Epoch: 1/50-Batch: 79/1875--D.loss:0.1151,G.loss:0.4573\n",
            "Epoch: 1/50-Batch: 80/1875--D.loss:0.1356,G.loss:1.0340\n",
            "Epoch: 1/50-Batch: 81/1875--D.loss:0.2494,G.loss:0.1767\n",
            "Epoch: 1/50-Batch: 82/1875--D.loss:0.2117,G.loss:1.3135\n",
            "Epoch: 1/50-Batch: 83/1875--D.loss:0.1460,G.loss:0.3448\n",
            "Epoch: 1/50-Batch: 84/1875--D.loss:0.0804,G.loss:0.4898\n",
            "Epoch: 1/50-Batch: 85/1875--D.loss:0.1360,G.loss:0.9309\n",
            "Epoch: 1/50-Batch: 86/1875--D.loss:0.1256,G.loss:0.3566\n",
            "Epoch: 1/50-Batch: 87/1875--D.loss:0.0835,G.loss:0.4915\n",
            "Epoch: 1/50-Batch: 88/1875--D.loss:0.1119,G.loss:0.8757\n",
            "Epoch: 1/50-Batch: 89/1875--D.loss:0.0770,G.loss:0.5036\n",
            "Epoch: 1/50-Batch: 90/1875--D.loss:0.0826,G.loss:0.6214\n",
            "Epoch: 1/50-Batch: 91/1875--D.loss:0.0887,G.loss:0.7996\n",
            "Epoch: 1/50-Batch: 92/1875--D.loss:0.0860,G.loss:0.5170\n",
            "Epoch: 1/50-Batch: 93/1875--D.loss:0.0854,G.loss:0.7544\n",
            "Epoch: 1/50-Batch: 94/1875--D.loss:0.0810,G.loss:0.5637\n",
            "Epoch: 1/50-Batch: 95/1875--D.loss:0.1051,G.loss:0.8607\n",
            "Epoch: 1/50-Batch: 96/1875--D.loss:0.1179,G.loss:0.3937\n",
            "Epoch: 1/50-Batch: 97/1875--D.loss:0.0935,G.loss:0.5335\n",
            "Epoch: 1/50-Batch: 98/1875--D.loss:0.1634,G.loss:1.0653\n",
            "Epoch: 1/50-Batch: 99/1875--D.loss:0.1846,G.loss:0.2782\n",
            "Epoch: 1/50-Batch: 100/1875--D.loss:0.1330,G.loss:0.9358\n",
            "Epoch: 1/50-Batch: 101/1875--D.loss:0.0812,G.loss:0.5845\n",
            "Epoch: 1/50-Batch: 102/1875--D.loss:0.0984,G.loss:0.5791\n",
            "Epoch: 1/50-Batch: 103/1875--D.loss:0.0679,G.loss:0.6638\n",
            "Epoch: 1/50-Batch: 104/1875--D.loss:0.0911,G.loss:0.5864\n",
            "Epoch: 1/50-Batch: 105/1875--D.loss:0.0862,G.loss:0.6633\n",
            "Epoch: 1/50-Batch: 106/1875--D.loss:0.1021,G.loss:0.7483\n",
            "Epoch: 1/50-Batch: 107/1875--D.loss:0.1116,G.loss:0.5836\n",
            "Epoch: 1/50-Batch: 108/1875--D.loss:0.1075,G.loss:0.5776\n",
            "Epoch: 1/50-Batch: 109/1875--D.loss:0.0870,G.loss:0.8685\n",
            "Epoch: 1/50-Batch: 110/1875--D.loss:0.1381,G.loss:0.4437\n",
            "Epoch: 1/50-Batch: 111/1875--D.loss:0.1138,G.loss:1.0779\n",
            "Epoch: 1/50-Batch: 112/1875--D.loss:0.1559,G.loss:0.3179\n",
            "Epoch: 1/50-Batch: 113/1875--D.loss:0.0868,G.loss:1.0586\n",
            "Epoch: 1/50-Batch: 114/1875--D.loss:0.0672,G.loss:0.6952\n",
            "Epoch: 1/50-Batch: 115/1875--D.loss:0.0950,G.loss:0.5266\n",
            "Epoch: 1/50-Batch: 116/1875--D.loss:0.1134,G.loss:0.6321\n",
            "Epoch: 1/50-Batch: 117/1875--D.loss:0.0710,G.loss:0.5816\n",
            "Epoch: 1/50-Batch: 118/1875--D.loss:0.1086,G.loss:0.7608\n",
            "Epoch: 1/50-Batch: 119/1875--D.loss:0.0985,G.loss:0.5523\n",
            "Epoch: 1/50-Batch: 120/1875--D.loss:0.0852,G.loss:0.7284\n",
            "Epoch: 1/50-Batch: 121/1875--D.loss:0.0997,G.loss:0.7072\n",
            "Epoch: 1/50-Batch: 122/1875--D.loss:0.1004,G.loss:0.5346\n",
            "Epoch: 1/50-Batch: 123/1875--D.loss:0.0760,G.loss:0.8483\n",
            "Epoch: 1/50-Batch: 124/1875--D.loss:0.0783,G.loss:0.6217\n",
            "Epoch: 1/50-Batch: 125/1875--D.loss:0.0675,G.loss:0.6905\n",
            "Epoch: 1/50-Batch: 126/1875--D.loss:0.1062,G.loss:0.8655\n",
            "Epoch: 1/50-Batch: 127/1875--D.loss:0.1311,G.loss:0.3533\n",
            "Epoch: 1/50-Batch: 128/1875--D.loss:0.1340,G.loss:1.3000\n",
            "Epoch: 1/50-Batch: 129/1875--D.loss:0.1311,G.loss:0.3649\n",
            "Epoch: 1/50-Batch: 130/1875--D.loss:0.0968,G.loss:0.7727\n",
            "Epoch: 1/50-Batch: 131/1875--D.loss:0.0984,G.loss:0.6049\n",
            "Epoch: 1/50-Batch: 132/1875--D.loss:0.0975,G.loss:0.5333\n",
            "Epoch: 1/50-Batch: 133/1875--D.loss:0.0877,G.loss:0.9257\n",
            "Epoch: 1/50-Batch: 134/1875--D.loss:0.0830,G.loss:0.6893\n",
            "Epoch: 1/50-Batch: 135/1875--D.loss:0.0964,G.loss:0.4112\n",
            "Epoch: 1/50-Batch: 136/1875--D.loss:0.0791,G.loss:0.9912\n",
            "Epoch: 1/50-Batch: 137/1875--D.loss:0.0814,G.loss:0.6130\n",
            "Epoch: 1/50-Batch: 138/1875--D.loss:0.0891,G.loss:0.6493\n",
            "Epoch: 1/50-Batch: 139/1875--D.loss:0.0931,G.loss:0.9929\n",
            "Epoch: 1/50-Batch: 140/1875--D.loss:0.0686,G.loss:0.5358\n",
            "Epoch: 1/50-Batch: 141/1875--D.loss:0.0800,G.loss:0.8836\n",
            "Epoch: 1/50-Batch: 142/1875--D.loss:0.0707,G.loss:0.7533\n",
            "Epoch: 1/50-Batch: 143/1875--D.loss:0.0958,G.loss:0.6455\n",
            "Epoch: 1/50-Batch: 144/1875--D.loss:0.1016,G.loss:0.4401\n",
            "Epoch: 1/50-Batch: 145/1875--D.loss:0.0698,G.loss:0.8975\n",
            "Epoch: 1/50-Batch: 146/1875--D.loss:0.0931,G.loss:0.6555\n",
            "Epoch: 1/50-Batch: 147/1875--D.loss:0.1183,G.loss:0.4169\n",
            "Epoch: 1/50-Batch: 148/1875--D.loss:0.1883,G.loss:1.3101\n",
            "Epoch: 1/50-Batch: 149/1875--D.loss:0.2248,G.loss:0.1829\n",
            "Epoch: 1/50-Batch: 150/1875--D.loss:0.1597,G.loss:1.1245\n",
            "Epoch: 1/50-Batch: 151/1875--D.loss:0.0905,G.loss:0.5944\n",
            "Epoch: 1/50-Batch: 152/1875--D.loss:0.0958,G.loss:0.5481\n",
            "Epoch: 1/50-Batch: 153/1875--D.loss:0.0942,G.loss:0.8378\n",
            "Epoch: 1/50-Batch: 154/1875--D.loss:0.0867,G.loss:0.6533\n",
            "Epoch: 1/50-Batch: 155/1875--D.loss:0.0925,G.loss:0.5452\n",
            "Epoch: 1/50-Batch: 156/1875--D.loss:0.0674,G.loss:0.7949\n",
            "Epoch: 1/50-Batch: 157/1875--D.loss:0.1271,G.loss:0.8449\n",
            "Epoch: 1/50-Batch: 158/1875--D.loss:0.1349,G.loss:0.3283\n",
            "Epoch: 1/50-Batch: 159/1875--D.loss:0.0794,G.loss:0.9510\n",
            "Epoch: 1/50-Batch: 160/1875--D.loss:0.1220,G.loss:0.8335\n",
            "Epoch: 1/50-Batch: 161/1875--D.loss:0.1740,G.loss:0.3197\n",
            "Epoch: 1/50-Batch: 162/1875--D.loss:0.1176,G.loss:0.8013\n",
            "Epoch: 1/50-Batch: 163/1875--D.loss:0.0770,G.loss:0.7789\n",
            "Epoch: 1/50-Batch: 164/1875--D.loss:0.1003,G.loss:0.5378\n",
            "Epoch: 1/50-Batch: 165/1875--D.loss:0.0681,G.loss:0.6421\n",
            "Epoch: 1/50-Batch: 166/1875--D.loss:0.0820,G.loss:0.7014\n",
            "Epoch: 1/50-Batch: 167/1875--D.loss:0.0863,G.loss:0.8126\n",
            "Epoch: 1/50-Batch: 168/1875--D.loss:0.1034,G.loss:0.4231\n",
            "Epoch: 1/50-Batch: 169/1875--D.loss:0.1148,G.loss:0.8622\n",
            "Epoch: 1/50-Batch: 170/1875--D.loss:0.0916,G.loss:0.5299\n",
            "Epoch: 1/50-Batch: 171/1875--D.loss:0.0840,G.loss:0.7154\n",
            "Epoch: 1/50-Batch: 172/1875--D.loss:0.0741,G.loss:0.6620\n",
            "Epoch: 1/50-Batch: 173/1875--D.loss:0.1021,G.loss:0.6414\n",
            "Epoch: 1/50-Batch: 174/1875--D.loss:0.0881,G.loss:0.6553\n",
            "Epoch: 1/50-Batch: 175/1875--D.loss:0.1111,G.loss:0.8395\n",
            "Epoch: 1/50-Batch: 176/1875--D.loss:0.1788,G.loss:0.2638\n",
            "Epoch: 1/50-Batch: 177/1875--D.loss:0.1657,G.loss:1.0751\n",
            "Epoch: 1/50-Batch: 178/1875--D.loss:0.1840,G.loss:0.3025\n",
            "Epoch: 1/50-Batch: 179/1875--D.loss:0.1425,G.loss:0.8981\n",
            "Epoch: 1/50-Batch: 180/1875--D.loss:0.1365,G.loss:0.4910\n",
            "Epoch: 1/50-Batch: 181/1875--D.loss:0.1139,G.loss:0.5179\n",
            "Epoch: 1/50-Batch: 182/1875--D.loss:0.1026,G.loss:0.7480\n",
            "Epoch: 1/50-Batch: 183/1875--D.loss:0.1007,G.loss:0.6076\n",
            "Epoch: 1/50-Batch: 184/1875--D.loss:0.0961,G.loss:0.4732\n",
            "Epoch: 1/50-Batch: 185/1875--D.loss:0.1221,G.loss:0.9955\n",
            "Epoch: 1/50-Batch: 186/1875--D.loss:0.1314,G.loss:0.3976\n",
            "Epoch: 1/50-Batch: 187/1875--D.loss:0.1176,G.loss:0.7089\n",
            "Epoch: 1/50-Batch: 188/1875--D.loss:0.1239,G.loss:0.5550\n",
            "Epoch: 1/50-Batch: 189/1875--D.loss:0.1110,G.loss:0.6712\n",
            "Epoch: 1/50-Batch: 190/1875--D.loss:0.0813,G.loss:0.5876\n",
            "Epoch: 1/50-Batch: 191/1875--D.loss:0.1107,G.loss:0.5983\n",
            "Epoch: 1/50-Batch: 192/1875--D.loss:0.1196,G.loss:0.7645\n",
            "Epoch: 1/50-Batch: 193/1875--D.loss:0.2167,G.loss:0.2520\n",
            "Epoch: 1/50-Batch: 194/1875--D.loss:0.2544,G.loss:1.4066\n",
            "Epoch: 1/50-Batch: 195/1875--D.loss:0.3328,G.loss:0.1067\n",
            "Epoch: 1/50-Batch: 196/1875--D.loss:0.1503,G.loss:0.6701\n",
            "Epoch: 1/50-Batch: 197/1875--D.loss:0.1422,G.loss:0.7620\n",
            "Epoch: 1/50-Batch: 198/1875--D.loss:0.1101,G.loss:0.5298\n",
            "Epoch: 1/50-Batch: 199/1875--D.loss:0.1566,G.loss:0.4665\n",
            "Epoch: 1/50-Batch: 200/1875--D.loss:0.1087,G.loss:0.5468\n",
            "Epoch: 1/50-Batch: 201/1875--D.loss:0.1325,G.loss:0.6027\n",
            "Epoch: 1/50-Batch: 202/1875--D.loss:0.1058,G.loss:0.5070\n",
            "Epoch: 1/50-Batch: 203/1875--D.loss:0.1112,G.loss:0.6529\n",
            "Epoch: 1/50-Batch: 204/1875--D.loss:0.1060,G.loss:0.7105\n",
            "Epoch: 1/50-Batch: 205/1875--D.loss:0.0818,G.loss:0.4436\n",
            "Epoch: 1/50-Batch: 206/1875--D.loss:0.0745,G.loss:0.5953\n",
            "Epoch: 1/50-Batch: 207/1875--D.loss:0.1156,G.loss:0.8134\n",
            "Epoch: 1/50-Batch: 208/1875--D.loss:0.1487,G.loss:0.3679\n",
            "Epoch: 1/50-Batch: 209/1875--D.loss:0.1668,G.loss:0.9057\n",
            "Epoch: 1/50-Batch: 210/1875--D.loss:0.1234,G.loss:0.4967\n",
            "Epoch: 1/50-Batch: 211/1875--D.loss:0.1264,G.loss:0.5300\n",
            "Epoch: 1/50-Batch: 212/1875--D.loss:0.1068,G.loss:0.6541\n",
            "Epoch: 1/50-Batch: 213/1875--D.loss:0.0827,G.loss:0.6488\n",
            "Epoch: 1/50-Batch: 214/1875--D.loss:0.1198,G.loss:0.5590\n",
            "Epoch: 1/50-Batch: 215/1875--D.loss:0.1019,G.loss:0.4819\n",
            "Epoch: 1/50-Batch: 216/1875--D.loss:0.0931,G.loss:0.6869\n",
            "Epoch: 1/50-Batch: 217/1875--D.loss:0.0905,G.loss:0.8205\n",
            "Epoch: 1/50-Batch: 218/1875--D.loss:0.1354,G.loss:0.4014\n",
            "Epoch: 1/50-Batch: 219/1875--D.loss:0.1415,G.loss:0.6657\n",
            "Epoch: 1/50-Batch: 220/1875--D.loss:0.1047,G.loss:0.6758\n",
            "Epoch: 1/50-Batch: 221/1875--D.loss:0.0991,G.loss:0.4661\n",
            "Epoch: 1/50-Batch: 222/1875--D.loss:0.1019,G.loss:0.7640\n",
            "Epoch: 1/50-Batch: 223/1875--D.loss:0.0874,G.loss:0.6312\n",
            "Epoch: 1/50-Batch: 224/1875--D.loss:0.1072,G.loss:0.4400\n",
            "Epoch: 1/50-Batch: 225/1875--D.loss:0.1260,G.loss:0.8066\n",
            "Epoch: 1/50-Batch: 226/1875--D.loss:0.0880,G.loss:0.5483\n",
            "Epoch: 1/50-Batch: 227/1875--D.loss:0.0999,G.loss:0.6781\n",
            "Epoch: 1/50-Batch: 228/1875--D.loss:0.1042,G.loss:0.6549\n",
            "Epoch: 1/50-Batch: 229/1875--D.loss:0.1055,G.loss:0.5703\n",
            "Epoch: 1/50-Batch: 230/1875--D.loss:0.1364,G.loss:0.6379\n",
            "Epoch: 1/50-Batch: 231/1875--D.loss:0.1006,G.loss:0.7164\n",
            "Epoch: 1/50-Batch: 232/1875--D.loss:0.0980,G.loss:0.5274\n",
            "Epoch: 1/50-Batch: 233/1875--D.loss:0.1113,G.loss:0.5711\n",
            "Epoch: 1/50-Batch: 234/1875--D.loss:0.1129,G.loss:0.6367\n",
            "Epoch: 1/50-Batch: 235/1875--D.loss:0.1087,G.loss:0.7964\n",
            "Epoch: 1/50-Batch: 236/1875--D.loss:0.1225,G.loss:0.3711\n",
            "Epoch: 1/50-Batch: 237/1875--D.loss:0.1920,G.loss:0.9373\n",
            "Epoch: 1/50-Batch: 238/1875--D.loss:0.1940,G.loss:0.2182\n",
            "Epoch: 1/50-Batch: 239/1875--D.loss:0.1818,G.loss:1.1907\n",
            "Epoch: 1/50-Batch: 240/1875--D.loss:0.1477,G.loss:0.3181\n",
            "Epoch: 1/50-Batch: 241/1875--D.loss:0.1195,G.loss:0.7753\n",
            "Epoch: 1/50-Batch: 242/1875--D.loss:0.0785,G.loss:0.5926\n",
            "Epoch: 1/50-Batch: 243/1875--D.loss:0.1126,G.loss:0.6296\n",
            "Epoch: 1/50-Batch: 244/1875--D.loss:0.1130,G.loss:0.5751\n",
            "Epoch: 1/50-Batch: 245/1875--D.loss:0.1114,G.loss:0.7688\n",
            "Epoch: 1/50-Batch: 246/1875--D.loss:0.1081,G.loss:0.5411\n",
            "Epoch: 1/50-Batch: 247/1875--D.loss:0.0898,G.loss:0.5578\n",
            "Epoch: 1/50-Batch: 248/1875--D.loss:0.0948,G.loss:0.7975\n",
            "Epoch: 1/50-Batch: 249/1875--D.loss:0.0910,G.loss:0.4544\n",
            "Epoch: 1/50-Batch: 250/1875--D.loss:0.1000,G.loss:0.7555\n",
            "Epoch: 1/50-Batch: 251/1875--D.loss:0.0831,G.loss:0.6742\n",
            "Epoch: 1/50-Batch: 252/1875--D.loss:0.1454,G.loss:0.3987\n",
            "Epoch: 1/50-Batch: 253/1875--D.loss:0.2045,G.loss:1.2218\n",
            "Epoch: 1/50-Batch: 254/1875--D.loss:0.2611,G.loss:0.1192\n",
            "Epoch: 1/50-Batch: 255/1875--D.loss:0.1581,G.loss:0.8530\n",
            "Epoch: 1/50-Batch: 256/1875--D.loss:0.1314,G.loss:0.6532\n",
            "Epoch: 1/50-Batch: 257/1875--D.loss:0.1391,G.loss:0.3374\n",
            "Epoch: 1/50-Batch: 258/1875--D.loss:0.1009,G.loss:0.5336\n",
            "Epoch: 1/50-Batch: 259/1875--D.loss:0.0787,G.loss:0.6729\n",
            "Epoch: 1/50-Batch: 260/1875--D.loss:0.0742,G.loss:0.5208\n",
            "Epoch: 1/50-Batch: 261/1875--D.loss:0.1213,G.loss:0.6737\n",
            "Epoch: 1/50-Batch: 262/1875--D.loss:0.0794,G.loss:0.7905\n",
            "Epoch: 1/50-Batch: 263/1875--D.loss:0.1053,G.loss:0.4779\n",
            "Epoch: 1/50-Batch: 264/1875--D.loss:0.1258,G.loss:0.5677\n",
            "Epoch: 1/50-Batch: 265/1875--D.loss:0.0867,G.loss:0.7517\n",
            "Epoch: 1/50-Batch: 266/1875--D.loss:0.0707,G.loss:0.6921\n",
            "Epoch: 1/50-Batch: 267/1875--D.loss:0.0815,G.loss:0.6931\n",
            "Epoch: 1/50-Batch: 268/1875--D.loss:0.0683,G.loss:0.6428\n",
            "Epoch: 1/50-Batch: 269/1875--D.loss:0.0921,G.loss:0.7303\n",
            "Epoch: 1/50-Batch: 270/1875--D.loss:0.0894,G.loss:0.4832\n",
            "Epoch: 1/50-Batch: 271/1875--D.loss:0.1017,G.loss:0.7904\n",
            "Epoch: 1/50-Batch: 272/1875--D.loss:0.1620,G.loss:0.3518\n",
            "Epoch: 1/50-Batch: 273/1875--D.loss:0.1686,G.loss:1.2857\n",
            "Epoch: 1/50-Batch: 274/1875--D.loss:0.3183,G.loss:0.1389\n",
            "Epoch: 1/50-Batch: 275/1875--D.loss:0.2484,G.loss:1.3107\n",
            "Epoch: 1/50-Batch: 276/1875--D.loss:0.1174,G.loss:0.3832\n",
            "Epoch: 1/50-Batch: 277/1875--D.loss:0.1315,G.loss:0.4193\n",
            "Epoch: 1/50-Batch: 278/1875--D.loss:0.0764,G.loss:0.6375\n",
            "Epoch: 1/50-Batch: 279/1875--D.loss:0.0878,G.loss:0.6526\n",
            "Epoch: 1/50-Batch: 280/1875--D.loss:0.1014,G.loss:0.6078\n",
            "Epoch: 1/50-Batch: 281/1875--D.loss:0.0787,G.loss:0.4993\n",
            "Epoch: 1/50-Batch: 282/1875--D.loss:0.0615,G.loss:0.7171\n",
            "Epoch: 1/50-Batch: 283/1875--D.loss:0.0819,G.loss:0.7624\n",
            "Epoch: 1/50-Batch: 284/1875--D.loss:0.0818,G.loss:0.5349\n",
            "Epoch: 1/50-Batch: 285/1875--D.loss:0.0852,G.loss:0.8159\n",
            "Epoch: 1/50-Batch: 286/1875--D.loss:0.0785,G.loss:0.6765\n",
            "Epoch: 1/50-Batch: 287/1875--D.loss:0.0912,G.loss:0.5134\n",
            "Epoch: 1/50-Batch: 288/1875--D.loss:0.0917,G.loss:0.9545\n",
            "Epoch: 1/50-Batch: 289/1875--D.loss:0.1244,G.loss:0.5462\n",
            "Epoch: 1/50-Batch: 290/1875--D.loss:0.1071,G.loss:0.6645\n",
            "Epoch: 1/50-Batch: 291/1875--D.loss:0.0822,G.loss:0.5008\n",
            "Epoch: 1/50-Batch: 292/1875--D.loss:0.0972,G.loss:0.7946\n",
            "Epoch: 1/50-Batch: 293/1875--D.loss:0.0912,G.loss:0.5219\n",
            "Epoch: 1/50-Batch: 294/1875--D.loss:0.1332,G.loss:0.7448\n",
            "Epoch: 1/50-Batch: 295/1875--D.loss:0.1046,G.loss:0.4425\n",
            "Epoch: 1/50-Batch: 296/1875--D.loss:0.0968,G.loss:0.7227\n",
            "Epoch: 1/50-Batch: 297/1875--D.loss:0.1238,G.loss:0.7540\n",
            "Epoch: 1/50-Batch: 298/1875--D.loss:0.0968,G.loss:0.5287\n",
            "Epoch: 1/50-Batch: 299/1875--D.loss:0.0681,G.loss:0.6743\n",
            "Epoch: 1/50-Batch: 300/1875--D.loss:0.0873,G.loss:0.5829\n",
            "Epoch: 1/50-Batch: 301/1875--D.loss:0.1593,G.loss:0.7452\n",
            "Epoch: 1/50-Batch: 302/1875--D.loss:0.1724,G.loss:0.3011\n",
            "Epoch: 1/50-Batch: 303/1875--D.loss:0.2304,G.loss:1.2751\n",
            "Epoch: 1/50-Batch: 304/1875--D.loss:0.1877,G.loss:0.2610\n",
            "Epoch: 1/50-Batch: 305/1875--D.loss:0.1329,G.loss:0.5620\n",
            "Epoch: 1/50-Batch: 306/1875--D.loss:0.1000,G.loss:0.7873\n",
            "Epoch: 1/50-Batch: 307/1875--D.loss:0.0996,G.loss:0.5192\n",
            "Epoch: 1/50-Batch: 308/1875--D.loss:0.0865,G.loss:0.6994\n",
            "Epoch: 1/50-Batch: 309/1875--D.loss:0.0967,G.loss:0.7022\n",
            "Epoch: 1/50-Batch: 310/1875--D.loss:0.1059,G.loss:0.5089\n",
            "Epoch: 1/50-Batch: 311/1875--D.loss:0.0840,G.loss:0.6235\n",
            "Epoch: 1/50-Batch: 312/1875--D.loss:0.0678,G.loss:0.8106\n",
            "Epoch: 1/50-Batch: 313/1875--D.loss:0.0615,G.loss:0.5869\n",
            "Epoch: 1/50-Batch: 314/1875--D.loss:0.0866,G.loss:0.6496\n",
            "Epoch: 1/50-Batch: 315/1875--D.loss:0.1599,G.loss:0.9947\n",
            "Epoch: 1/50-Batch: 316/1875--D.loss:0.1321,G.loss:0.3441\n",
            "Epoch: 1/50-Batch: 317/1875--D.loss:0.1202,G.loss:0.8238\n",
            "Epoch: 1/50-Batch: 318/1875--D.loss:0.1444,G.loss:0.7359\n",
            "Epoch: 1/50-Batch: 319/1875--D.loss:0.1295,G.loss:0.3809\n",
            "Epoch: 1/50-Batch: 320/1875--D.loss:0.1053,G.loss:0.6189\n",
            "Epoch: 1/50-Batch: 321/1875--D.loss:0.0996,G.loss:0.7565\n",
            "Epoch: 1/50-Batch: 322/1875--D.loss:0.1100,G.loss:0.4542\n",
            "Epoch: 1/50-Batch: 323/1875--D.loss:0.1055,G.loss:0.8181\n",
            "Epoch: 1/50-Batch: 324/1875--D.loss:0.0935,G.loss:0.6047\n",
            "Epoch: 1/50-Batch: 325/1875--D.loss:0.1183,G.loss:0.4711\n",
            "Epoch: 1/50-Batch: 326/1875--D.loss:0.0951,G.loss:0.9256\n",
            "Epoch: 1/50-Batch: 327/1875--D.loss:0.1033,G.loss:0.5646\n",
            "Epoch: 1/50-Batch: 328/1875--D.loss:0.0998,G.loss:0.6288\n",
            "Epoch: 1/50-Batch: 329/1875--D.loss:0.0861,G.loss:0.5987\n",
            "Epoch: 1/50-Batch: 330/1875--D.loss:0.1003,G.loss:0.6401\n",
            "Epoch: 1/50-Batch: 331/1875--D.loss:0.0820,G.loss:0.5172\n",
            "Epoch: 1/50-Batch: 332/1875--D.loss:0.1669,G.loss:1.0552\n",
            "Epoch: 1/50-Batch: 333/1875--D.loss:0.2726,G.loss:0.1488\n",
            "Epoch: 1/50-Batch: 334/1875--D.loss:0.1707,G.loss:1.0956\n",
            "Epoch: 1/50-Batch: 335/1875--D.loss:0.0992,G.loss:0.5501\n",
            "Epoch: 1/50-Batch: 336/1875--D.loss:0.1190,G.loss:0.4582\n",
            "Epoch: 1/50-Batch: 337/1875--D.loss:0.1117,G.loss:0.6343\n",
            "Epoch: 1/50-Batch: 338/1875--D.loss:0.1272,G.loss:0.6337\n",
            "Epoch: 1/50-Batch: 339/1875--D.loss:0.1058,G.loss:0.6150\n",
            "Epoch: 1/50-Batch: 340/1875--D.loss:0.1301,G.loss:0.5809\n",
            "Epoch: 1/50-Batch: 341/1875--D.loss:0.0785,G.loss:0.7556\n",
            "Epoch: 1/50-Batch: 342/1875--D.loss:0.0837,G.loss:0.6265\n",
            "Epoch: 1/50-Batch: 343/1875--D.loss:0.1104,G.loss:0.5075\n",
            "Epoch: 1/50-Batch: 344/1875--D.loss:0.1013,G.loss:0.6380\n",
            "Epoch: 1/50-Batch: 345/1875--D.loss:0.0733,G.loss:0.6463\n",
            "Epoch: 1/50-Batch: 346/1875--D.loss:0.1303,G.loss:0.6405\n",
            "Epoch: 1/50-Batch: 347/1875--D.loss:0.1368,G.loss:0.4471\n",
            "Epoch: 1/50-Batch: 348/1875--D.loss:0.1013,G.loss:0.8776\n",
            "Epoch: 1/50-Batch: 349/1875--D.loss:0.1591,G.loss:0.4000\n",
            "Epoch: 1/50-Batch: 350/1875--D.loss:0.1622,G.loss:0.9695\n",
            "Epoch: 1/50-Batch: 351/1875--D.loss:0.1506,G.loss:0.2636\n",
            "Epoch: 1/50-Batch: 352/1875--D.loss:0.1885,G.loss:0.8505\n",
            "Epoch: 1/50-Batch: 353/1875--D.loss:0.1736,G.loss:0.3310\n",
            "Epoch: 1/50-Batch: 354/1875--D.loss:0.1632,G.loss:0.9008\n",
            "Epoch: 1/50-Batch: 355/1875--D.loss:0.1766,G.loss:0.3020\n",
            "Epoch: 1/50-Batch: 356/1875--D.loss:0.0960,G.loss:0.6553\n",
            "Epoch: 1/50-Batch: 357/1875--D.loss:0.1365,G.loss:0.6124\n",
            "Epoch: 1/50-Batch: 358/1875--D.loss:0.1247,G.loss:0.4146\n",
            "Epoch: 1/50-Batch: 359/1875--D.loss:0.0909,G.loss:0.7470\n",
            "Epoch: 1/50-Batch: 360/1875--D.loss:0.1179,G.loss:0.6878\n",
            "Epoch: 1/50-Batch: 361/1875--D.loss:0.1602,G.loss:0.3122\n",
            "Epoch: 1/50-Batch: 362/1875--D.loss:0.1601,G.loss:1.1145\n",
            "Epoch: 1/50-Batch: 363/1875--D.loss:0.1091,G.loss:0.3786\n",
            "Epoch: 1/50-Batch: 364/1875--D.loss:0.0990,G.loss:0.5545\n",
            "Epoch: 1/50-Batch: 365/1875--D.loss:0.1692,G.loss:0.7816\n",
            "Epoch: 1/50-Batch: 366/1875--D.loss:0.1197,G.loss:0.4110\n",
            "Epoch: 1/50-Batch: 367/1875--D.loss:0.0780,G.loss:0.6690\n",
            "Epoch: 1/50-Batch: 368/1875--D.loss:0.0835,G.loss:0.7300\n",
            "Epoch: 1/50-Batch: 369/1875--D.loss:0.1050,G.loss:0.5082\n",
            "Epoch: 1/50-Batch: 370/1875--D.loss:0.0745,G.loss:0.7827\n",
            "Epoch: 1/50-Batch: 371/1875--D.loss:0.0948,G.loss:0.5902\n",
            "Epoch: 1/50-Batch: 372/1875--D.loss:0.1062,G.loss:0.5256\n",
            "Epoch: 1/50-Batch: 373/1875--D.loss:0.1399,G.loss:0.7702\n",
            "Epoch: 1/50-Batch: 374/1875--D.loss:0.0991,G.loss:0.5099\n",
            "Epoch: 1/50-Batch: 375/1875--D.loss:0.1015,G.loss:0.6496\n",
            "Epoch: 1/50-Batch: 376/1875--D.loss:0.0976,G.loss:0.6582\n",
            "Epoch: 1/50-Batch: 377/1875--D.loss:0.1108,G.loss:0.8202\n",
            "Epoch: 1/50-Batch: 378/1875--D.loss:0.1463,G.loss:0.3173\n",
            "Epoch: 1/50-Batch: 379/1875--D.loss:0.2260,G.loss:1.1874\n",
            "Epoch: 1/50-Batch: 380/1875--D.loss:0.2625,G.loss:0.1486\n",
            "Epoch: 1/50-Batch: 381/1875--D.loss:0.1339,G.loss:0.8932\n",
            "Epoch: 1/50-Batch: 382/1875--D.loss:0.0944,G.loss:0.6878\n",
            "Epoch: 1/50-Batch: 383/1875--D.loss:0.1446,G.loss:0.5000\n",
            "Epoch: 1/50-Batch: 384/1875--D.loss:0.1079,G.loss:0.6026\n",
            "Epoch: 1/50-Batch: 385/1875--D.loss:0.0961,G.loss:0.5733\n",
            "Epoch: 1/50-Batch: 386/1875--D.loss:0.0877,G.loss:0.6798\n",
            "Epoch: 1/50-Batch: 387/1875--D.loss:0.1151,G.loss:0.4921\n",
            "Epoch: 1/50-Batch: 388/1875--D.loss:0.0872,G.loss:0.6816\n",
            "Epoch: 1/50-Batch: 389/1875--D.loss:0.0952,G.loss:0.7292\n",
            "Epoch: 1/50-Batch: 390/1875--D.loss:0.1208,G.loss:0.4321\n",
            "Epoch: 1/50-Batch: 391/1875--D.loss:0.1214,G.loss:0.8519\n",
            "Epoch: 1/50-Batch: 392/1875--D.loss:0.1131,G.loss:0.4304\n",
            "Epoch: 1/50-Batch: 393/1875--D.loss:0.1275,G.loss:0.8264\n",
            "Epoch: 1/50-Batch: 394/1875--D.loss:0.1073,G.loss:0.6168\n",
            "Epoch: 1/50-Batch: 395/1875--D.loss:0.1110,G.loss:0.4162\n",
            "Epoch: 1/50-Batch: 396/1875--D.loss:0.1045,G.loss:0.6754\n",
            "Epoch: 1/50-Batch: 397/1875--D.loss:0.1534,G.loss:0.7142\n",
            "Epoch: 1/50-Batch: 398/1875--D.loss:0.1170,G.loss:0.3346\n",
            "Epoch: 1/50-Batch: 399/1875--D.loss:0.1059,G.loss:0.6770\n",
            "Epoch: 1/50-Batch: 400/1875--D.loss:0.0750,G.loss:0.6965\n",
            "Epoch: 1/50-Batch: 401/1875--D.loss:0.0937,G.loss:0.7878\n",
            "Epoch: 1/50-Batch: 402/1875--D.loss:0.1163,G.loss:0.7157\n",
            "Epoch: 1/50-Batch: 403/1875--D.loss:0.1157,G.loss:0.4587\n",
            "Epoch: 1/50-Batch: 404/1875--D.loss:0.1475,G.loss:1.0432\n",
            "Epoch: 1/50-Batch: 405/1875--D.loss:0.1305,G.loss:0.3049\n",
            "Epoch: 1/50-Batch: 406/1875--D.loss:0.1508,G.loss:0.9459\n",
            "Epoch: 1/50-Batch: 407/1875--D.loss:0.0949,G.loss:0.4143\n",
            "Epoch: 1/50-Batch: 408/1875--D.loss:0.0750,G.loss:0.7066\n",
            "Epoch: 1/50-Batch: 409/1875--D.loss:0.0626,G.loss:0.8043\n",
            "Epoch: 1/50-Batch: 410/1875--D.loss:0.1156,G.loss:0.8899\n",
            "Epoch: 1/50-Batch: 411/1875--D.loss:0.1565,G.loss:0.3109\n",
            "Epoch: 1/50-Batch: 412/1875--D.loss:0.1769,G.loss:1.0457\n",
            "Epoch: 1/50-Batch: 413/1875--D.loss:0.1271,G.loss:0.4008\n",
            "Epoch: 1/50-Batch: 414/1875--D.loss:0.1133,G.loss:0.6181\n",
            "Epoch: 1/50-Batch: 415/1875--D.loss:0.0813,G.loss:0.8584\n",
            "Epoch: 1/50-Batch: 416/1875--D.loss:0.1185,G.loss:0.3832\n",
            "Epoch: 1/50-Batch: 417/1875--D.loss:0.1301,G.loss:0.9112\n",
            "Epoch: 1/50-Batch: 418/1875--D.loss:0.0824,G.loss:0.5517\n",
            "Epoch: 1/50-Batch: 419/1875--D.loss:0.1006,G.loss:0.6899\n",
            "Epoch: 1/50-Batch: 420/1875--D.loss:0.1231,G.loss:0.6795\n",
            "Epoch: 1/50-Batch: 421/1875--D.loss:0.1260,G.loss:0.3762\n",
            "Epoch: 1/50-Batch: 422/1875--D.loss:0.1196,G.loss:0.7277\n",
            "Epoch: 1/50-Batch: 423/1875--D.loss:0.1004,G.loss:0.5823\n",
            "Epoch: 1/50-Batch: 424/1875--D.loss:0.1020,G.loss:0.5780\n",
            "Epoch: 1/50-Batch: 425/1875--D.loss:0.1278,G.loss:0.8612\n",
            "Epoch: 1/50-Batch: 426/1875--D.loss:0.1675,G.loss:0.3137\n",
            "Epoch: 1/50-Batch: 427/1875--D.loss:0.1336,G.loss:1.1027\n",
            "Epoch: 1/50-Batch: 428/1875--D.loss:0.1063,G.loss:0.5274\n",
            "Epoch: 1/50-Batch: 429/1875--D.loss:0.1120,G.loss:0.5234\n",
            "Epoch: 1/50-Batch: 430/1875--D.loss:0.0879,G.loss:0.6932\n",
            "Epoch: 1/50-Batch: 431/1875--D.loss:0.0729,G.loss:0.6131\n",
            "Epoch: 1/50-Batch: 432/1875--D.loss:0.1108,G.loss:0.8106\n",
            "Epoch: 1/50-Batch: 433/1875--D.loss:0.1076,G.loss:0.4137\n",
            "Epoch: 1/50-Batch: 434/1875--D.loss:0.1311,G.loss:0.9903\n",
            "Epoch: 1/50-Batch: 435/1875--D.loss:0.1351,G.loss:0.3427\n",
            "Epoch: 1/50-Batch: 436/1875--D.loss:0.0880,G.loss:0.9681\n",
            "Epoch: 1/50-Batch: 437/1875--D.loss:0.1207,G.loss:0.6627\n",
            "Epoch: 1/50-Batch: 438/1875--D.loss:0.1041,G.loss:0.4008\n",
            "Epoch: 1/50-Batch: 439/1875--D.loss:0.1208,G.loss:0.6747\n",
            "Epoch: 1/50-Batch: 440/1875--D.loss:0.0877,G.loss:0.6582\n",
            "Epoch: 1/50-Batch: 441/1875--D.loss:0.0892,G.loss:0.6268\n",
            "Epoch: 1/50-Batch: 442/1875--D.loss:0.0914,G.loss:0.5363\n",
            "Epoch: 1/50-Batch: 443/1875--D.loss:0.1052,G.loss:0.7814\n",
            "Epoch: 1/50-Batch: 444/1875--D.loss:0.1001,G.loss:0.5141\n",
            "Epoch: 1/50-Batch: 445/1875--D.loss:0.0829,G.loss:0.6976\n",
            "Epoch: 1/50-Batch: 446/1875--D.loss:0.1049,G.loss:0.4630\n",
            "Epoch: 1/50-Batch: 447/1875--D.loss:0.1139,G.loss:0.8609\n",
            "Epoch: 1/50-Batch: 448/1875--D.loss:0.1123,G.loss:0.5692\n",
            "Epoch: 1/50-Batch: 449/1875--D.loss:0.1313,G.loss:0.4839\n",
            "Epoch: 1/50-Batch: 450/1875--D.loss:0.1718,G.loss:0.9970\n",
            "Epoch: 1/50-Batch: 451/1875--D.loss:0.1706,G.loss:0.2362\n",
            "Epoch: 1/50-Batch: 452/1875--D.loss:0.1114,G.loss:1.0626\n",
            "Epoch: 1/50-Batch: 453/1875--D.loss:0.1342,G.loss:0.5236\n",
            "Epoch: 1/50-Batch: 454/1875--D.loss:0.1164,G.loss:0.4065\n",
            "Epoch: 1/50-Batch: 455/1875--D.loss:0.1300,G.loss:0.8327\n",
            "Epoch: 1/50-Batch: 456/1875--D.loss:0.1170,G.loss:0.4685\n",
            "Epoch: 1/50-Batch: 457/1875--D.loss:0.0959,G.loss:0.6682\n",
            "Epoch: 1/50-Batch: 458/1875--D.loss:0.1084,G.loss:0.8688\n",
            "Epoch: 1/50-Batch: 459/1875--D.loss:0.1128,G.loss:0.4207\n",
            "Epoch: 1/50-Batch: 460/1875--D.loss:0.1158,G.loss:0.6595\n",
            "Epoch: 1/50-Batch: 461/1875--D.loss:0.1336,G.loss:0.4956\n",
            "Epoch: 1/50-Batch: 462/1875--D.loss:0.0864,G.loss:0.9159\n",
            "Epoch: 1/50-Batch: 463/1875--D.loss:0.0982,G.loss:0.5460\n",
            "Epoch: 1/50-Batch: 464/1875--D.loss:0.0900,G.loss:0.6551\n",
            "Epoch: 1/50-Batch: 465/1875--D.loss:0.0919,G.loss:0.8855\n",
            "Epoch: 1/50-Batch: 466/1875--D.loss:0.1681,G.loss:0.3212\n",
            "Epoch: 1/50-Batch: 467/1875--D.loss:0.1147,G.loss:0.9059\n",
            "Epoch: 1/50-Batch: 468/1875--D.loss:0.1149,G.loss:0.3853\n",
            "Epoch: 1/50-Batch: 469/1875--D.loss:0.1175,G.loss:0.7094\n",
            "Epoch: 1/50-Batch: 470/1875--D.loss:0.1058,G.loss:0.6880\n",
            "Epoch: 1/50-Batch: 471/1875--D.loss:0.1224,G.loss:0.4102\n",
            "Epoch: 1/50-Batch: 472/1875--D.loss:0.1686,G.loss:1.1761\n",
            "Epoch: 1/50-Batch: 473/1875--D.loss:0.2164,G.loss:0.2269\n",
            "Epoch: 1/50-Batch: 474/1875--D.loss:0.1588,G.loss:1.0885\n",
            "Epoch: 1/50-Batch: 475/1875--D.loss:0.0931,G.loss:0.4668\n",
            "Epoch: 1/50-Batch: 476/1875--D.loss:0.0989,G.loss:0.5807\n",
            "Epoch: 1/50-Batch: 477/1875--D.loss:0.0940,G.loss:0.8296\n",
            "Epoch: 1/50-Batch: 478/1875--D.loss:0.0912,G.loss:0.6872\n",
            "Epoch: 1/50-Batch: 479/1875--D.loss:0.0949,G.loss:0.5608\n",
            "Epoch: 1/50-Batch: 480/1875--D.loss:0.0603,G.loss:0.8636\n",
            "Epoch: 1/50-Batch: 481/1875--D.loss:0.0597,G.loss:0.8332\n",
            "Epoch: 1/50-Batch: 482/1875--D.loss:0.1003,G.loss:0.5566\n",
            "Epoch: 1/50-Batch: 483/1875--D.loss:0.0700,G.loss:0.6696\n",
            "Epoch: 1/50-Batch: 484/1875--D.loss:0.0845,G.loss:0.7255\n",
            "Epoch: 1/50-Batch: 485/1875--D.loss:0.0683,G.loss:0.5725\n",
            "Epoch: 1/50-Batch: 486/1875--D.loss:0.1177,G.loss:1.1068\n",
            "Epoch: 1/50-Batch: 487/1875--D.loss:0.1254,G.loss:0.4689\n",
            "Epoch: 1/50-Batch: 488/1875--D.loss:0.0955,G.loss:0.6128\n",
            "Epoch: 1/50-Batch: 489/1875--D.loss:0.1015,G.loss:0.6643\n",
            "Epoch: 1/50-Batch: 490/1875--D.loss:0.0934,G.loss:0.5252\n",
            "Epoch: 1/50-Batch: 491/1875--D.loss:0.0624,G.loss:0.7614\n",
            "Epoch: 1/50-Batch: 492/1875--D.loss:0.0802,G.loss:0.8906\n",
            "Epoch: 1/50-Batch: 493/1875--D.loss:0.0720,G.loss:0.5746\n",
            "Epoch: 1/50-Batch: 494/1875--D.loss:0.1542,G.loss:1.0990\n",
            "Epoch: 1/50-Batch: 495/1875--D.loss:0.3846,G.loss:0.0639\n",
            "Epoch: 1/50-Batch: 496/1875--D.loss:0.1517,G.loss:1.1611\n",
            "Epoch: 1/50-Batch: 497/1875--D.loss:0.1122,G.loss:0.7563\n",
            "Epoch: 1/50-Batch: 498/1875--D.loss:0.1371,G.loss:0.3220\n",
            "Epoch: 1/50-Batch: 499/1875--D.loss:0.0991,G.loss:0.5635\n",
            "Epoch: 1/50-Batch: 500/1875--D.loss:0.0829,G.loss:0.6733\n",
            "Epoch: 1/50-Batch: 501/1875--D.loss:0.0929,G.loss:0.6398\n",
            "Epoch: 1/50-Batch: 502/1875--D.loss:0.0921,G.loss:0.5648\n",
            "Epoch: 1/50-Batch: 503/1875--D.loss:0.0735,G.loss:0.6352\n",
            "Epoch: 1/50-Batch: 504/1875--D.loss:0.0730,G.loss:0.7824\n",
            "Epoch: 1/50-Batch: 505/1875--D.loss:0.0821,G.loss:0.6712\n",
            "Epoch: 1/50-Batch: 506/1875--D.loss:0.0804,G.loss:0.7330\n",
            "Epoch: 1/50-Batch: 507/1875--D.loss:0.0855,G.loss:0.5029\n",
            "Epoch: 1/50-Batch: 508/1875--D.loss:0.0923,G.loss:0.6089\n",
            "Epoch: 1/50-Batch: 509/1875--D.loss:0.1131,G.loss:0.7975\n",
            "Epoch: 1/50-Batch: 510/1875--D.loss:0.1124,G.loss:0.5047\n",
            "Epoch: 1/50-Batch: 511/1875--D.loss:0.0954,G.loss:0.7772\n",
            "Epoch: 1/50-Batch: 512/1875--D.loss:0.0965,G.loss:0.7145\n",
            "Epoch: 1/50-Batch: 513/1875--D.loss:0.1009,G.loss:0.6012\n",
            "Epoch: 1/50-Batch: 514/1875--D.loss:0.0627,G.loss:0.6527\n",
            "Epoch: 1/50-Batch: 515/1875--D.loss:0.0846,G.loss:0.7628\n",
            "Epoch: 1/50-Batch: 516/1875--D.loss:0.0742,G.loss:0.7253\n",
            "Epoch: 1/50-Batch: 517/1875--D.loss:0.0921,G.loss:0.5417\n",
            "Epoch: 1/50-Batch: 518/1875--D.loss:0.0979,G.loss:0.8830\n",
            "Epoch: 1/50-Batch: 519/1875--D.loss:0.1272,G.loss:0.3342\n",
            "Epoch: 1/50-Batch: 520/1875--D.loss:0.1616,G.loss:1.1195\n",
            "Epoch: 1/50-Batch: 521/1875--D.loss:0.2000,G.loss:0.2348\n",
            "Epoch: 1/50-Batch: 522/1875--D.loss:0.1207,G.loss:1.0044\n",
            "Epoch: 1/50-Batch: 523/1875--D.loss:0.0751,G.loss:0.8494\n",
            "Epoch: 1/50-Batch: 524/1875--D.loss:0.1057,G.loss:0.4657\n",
            "Epoch: 1/50-Batch: 525/1875--D.loss:0.1154,G.loss:0.5296\n",
            "Epoch: 1/50-Batch: 526/1875--D.loss:0.0851,G.loss:0.7047\n",
            "Epoch: 1/50-Batch: 527/1875--D.loss:0.0862,G.loss:0.6723\n",
            "Epoch: 1/50-Batch: 528/1875--D.loss:0.0771,G.loss:0.7221\n",
            "Epoch: 1/50-Batch: 529/1875--D.loss:0.0707,G.loss:0.7590\n",
            "Epoch: 1/50-Batch: 530/1875--D.loss:0.0944,G.loss:0.5781\n",
            "Epoch: 1/50-Batch: 531/1875--D.loss:0.1118,G.loss:0.8563\n",
            "Epoch: 1/50-Batch: 532/1875--D.loss:0.1353,G.loss:0.3092\n",
            "Epoch: 1/50-Batch: 533/1875--D.loss:0.1375,G.loss:1.0552\n",
            "Epoch: 1/50-Batch: 534/1875--D.loss:0.1143,G.loss:0.4941\n",
            "Epoch: 1/50-Batch: 535/1875--D.loss:0.1209,G.loss:0.4122\n",
            "Epoch: 1/50-Batch: 536/1875--D.loss:0.1194,G.loss:0.7485\n",
            "Epoch: 1/50-Batch: 537/1875--D.loss:0.0768,G.loss:0.5100\n",
            "Epoch: 1/50-Batch: 538/1875--D.loss:0.0865,G.loss:0.7779\n",
            "Epoch: 1/50-Batch: 539/1875--D.loss:0.0944,G.loss:0.6872\n",
            "Epoch: 1/50-Batch: 540/1875--D.loss:0.0931,G.loss:0.4641\n",
            "Epoch: 1/50-Batch: 541/1875--D.loss:0.1059,G.loss:0.9081\n",
            "Epoch: 1/50-Batch: 542/1875--D.loss:0.1057,G.loss:0.5050\n",
            "Epoch: 1/50-Batch: 543/1875--D.loss:0.0934,G.loss:0.5703\n",
            "Epoch: 1/50-Batch: 544/1875--D.loss:0.1279,G.loss:0.6210\n",
            "Epoch: 1/50-Batch: 545/1875--D.loss:0.0870,G.loss:0.5455\n",
            "Epoch: 1/50-Batch: 546/1875--D.loss:0.0992,G.loss:0.8815\n",
            "Epoch: 1/50-Batch: 547/1875--D.loss:0.1054,G.loss:0.5202\n",
            "Epoch: 1/50-Batch: 548/1875--D.loss:0.0875,G.loss:0.7427\n",
            "Epoch: 1/50-Batch: 549/1875--D.loss:0.0903,G.loss:0.6229\n",
            "Epoch: 1/50-Batch: 550/1875--D.loss:0.1045,G.loss:0.6858\n",
            "Epoch: 1/50-Batch: 551/1875--D.loss:0.1120,G.loss:0.4825\n",
            "Epoch: 1/50-Batch: 552/1875--D.loss:0.1620,G.loss:1.1317\n",
            "Epoch: 1/50-Batch: 553/1875--D.loss:0.1924,G.loss:0.2544\n",
            "Epoch: 1/50-Batch: 554/1875--D.loss:0.1170,G.loss:0.9894\n",
            "Epoch: 1/50-Batch: 555/1875--D.loss:0.0830,G.loss:0.5616\n",
            "Epoch: 1/50-Batch: 556/1875--D.loss:0.1077,G.loss:0.4810\n",
            "Epoch: 1/50-Batch: 557/1875--D.loss:0.0744,G.loss:0.7580\n",
            "Epoch: 1/50-Batch: 558/1875--D.loss:0.0978,G.loss:0.8325\n",
            "Epoch: 1/50-Batch: 559/1875--D.loss:0.1156,G.loss:0.4258\n",
            "Epoch: 1/50-Batch: 560/1875--D.loss:0.0734,G.loss:0.7270\n",
            "Epoch: 1/50-Batch: 561/1875--D.loss:0.0720,G.loss:0.6700\n",
            "Epoch: 1/50-Batch: 562/1875--D.loss:0.0922,G.loss:0.6233\n",
            "Epoch: 1/50-Batch: 563/1875--D.loss:0.0948,G.loss:0.5378\n",
            "Epoch: 1/50-Batch: 564/1875--D.loss:0.0941,G.loss:0.9429\n",
            "Epoch: 1/50-Batch: 565/1875--D.loss:0.1626,G.loss:0.2926\n",
            "Epoch: 1/50-Batch: 566/1875--D.loss:0.1347,G.loss:1.2300\n",
            "Epoch: 1/50-Batch: 567/1875--D.loss:0.1036,G.loss:0.4526\n",
            "Epoch: 1/50-Batch: 568/1875--D.loss:0.1130,G.loss:0.6519\n",
            "Epoch: 1/50-Batch: 569/1875--D.loss:0.1428,G.loss:0.5670\n",
            "Epoch: 1/50-Batch: 570/1875--D.loss:0.1241,G.loss:0.5575\n",
            "Epoch: 1/50-Batch: 571/1875--D.loss:0.1146,G.loss:0.8843\n",
            "Epoch: 1/50-Batch: 572/1875--D.loss:0.1616,G.loss:0.3405\n",
            "Epoch: 1/50-Batch: 573/1875--D.loss:0.1277,G.loss:0.9984\n",
            "Epoch: 1/50-Batch: 574/1875--D.loss:0.0891,G.loss:0.4369\n",
            "Epoch: 1/50-Batch: 575/1875--D.loss:0.1251,G.loss:0.5814\n",
            "Epoch: 1/50-Batch: 576/1875--D.loss:0.1161,G.loss:0.8470\n",
            "Epoch: 1/50-Batch: 577/1875--D.loss:0.1040,G.loss:0.4647\n",
            "Epoch: 1/50-Batch: 578/1875--D.loss:0.0778,G.loss:0.8028\n",
            "Epoch: 1/50-Batch: 579/1875--D.loss:0.1078,G.loss:0.6178\n",
            "Epoch: 1/50-Batch: 580/1875--D.loss:0.1135,G.loss:0.6589\n",
            "Epoch: 1/50-Batch: 581/1875--D.loss:0.0867,G.loss:0.5777\n",
            "Epoch: 1/50-Batch: 582/1875--D.loss:0.1149,G.loss:0.8077\n",
            "Epoch: 1/50-Batch: 583/1875--D.loss:0.1400,G.loss:0.4109\n",
            "Epoch: 1/50-Batch: 584/1875--D.loss:0.1996,G.loss:1.2991\n",
            "Epoch: 1/50-Batch: 585/1875--D.loss:0.2792,G.loss:0.1256\n",
            "Epoch: 1/50-Batch: 586/1875--D.loss:0.0768,G.loss:0.8780\n",
            "Epoch: 1/50-Batch: 587/1875--D.loss:0.1718,G.loss:0.9774\n",
            "Epoch: 1/50-Batch: 588/1875--D.loss:0.2015,G.loss:0.1925\n",
            "Epoch: 1/50-Batch: 589/1875--D.loss:0.0970,G.loss:0.5524\n",
            "Epoch: 1/50-Batch: 590/1875--D.loss:0.1122,G.loss:0.9950\n",
            "Epoch: 1/50-Batch: 591/1875--D.loss:0.0844,G.loss:0.5630\n",
            "Epoch: 1/50-Batch: 592/1875--D.loss:0.0885,G.loss:0.5269\n",
            "Epoch: 1/50-Batch: 593/1875--D.loss:0.0925,G.loss:0.5559\n",
            "Epoch: 1/50-Batch: 594/1875--D.loss:0.1075,G.loss:0.8003\n",
            "Epoch: 1/50-Batch: 595/1875--D.loss:0.0838,G.loss:0.5640\n",
            "Epoch: 1/50-Batch: 596/1875--D.loss:0.0952,G.loss:0.5781\n",
            "Epoch: 1/50-Batch: 597/1875--D.loss:0.0582,G.loss:0.5773\n",
            "Epoch: 1/50-Batch: 598/1875--D.loss:0.1113,G.loss:0.8172\n",
            "Epoch: 1/50-Batch: 599/1875--D.loss:0.0614,G.loss:0.5976\n",
            "Epoch: 1/50-Batch: 600/1875--D.loss:0.0883,G.loss:0.7097\n",
            "Epoch: 1/50-Batch: 601/1875--D.loss:0.0882,G.loss:0.6446\n",
            "Epoch: 1/50-Batch: 602/1875--D.loss:0.0639,G.loss:0.8090\n",
            "Epoch: 1/50-Batch: 603/1875--D.loss:0.0902,G.loss:0.6114\n",
            "Epoch: 1/50-Batch: 604/1875--D.loss:0.0923,G.loss:0.5765\n",
            "Epoch: 1/50-Batch: 605/1875--D.loss:0.1131,G.loss:1.0462\n",
            "Epoch: 1/50-Batch: 606/1875--D.loss:0.1384,G.loss:0.3427\n",
            "Epoch: 1/50-Batch: 607/1875--D.loss:0.1581,G.loss:1.0895\n",
            "Epoch: 1/50-Batch: 608/1875--D.loss:0.1894,G.loss:0.2300\n",
            "Epoch: 1/50-Batch: 609/1875--D.loss:0.1141,G.loss:0.8544\n",
            "Epoch: 1/50-Batch: 610/1875--D.loss:0.1008,G.loss:0.5453\n",
            "Epoch: 1/50-Batch: 611/1875--D.loss:0.0835,G.loss:0.5435\n",
            "Epoch: 1/50-Batch: 612/1875--D.loss:0.1217,G.loss:0.7924\n",
            "Epoch: 1/50-Batch: 613/1875--D.loss:0.1295,G.loss:0.5075\n",
            "Epoch: 1/50-Batch: 614/1875--D.loss:0.0923,G.loss:0.4611\n",
            "Epoch: 1/50-Batch: 615/1875--D.loss:0.0714,G.loss:0.7726\n",
            "Epoch: 1/50-Batch: 616/1875--D.loss:0.0857,G.loss:0.7325\n",
            "Epoch: 1/50-Batch: 617/1875--D.loss:0.1140,G.loss:0.5116\n",
            "Epoch: 1/50-Batch: 618/1875--D.loss:0.1039,G.loss:0.5778\n",
            "Epoch: 1/50-Batch: 619/1875--D.loss:0.1037,G.loss:0.9505\n",
            "Epoch: 1/50-Batch: 620/1875--D.loss:0.1035,G.loss:0.4811\n",
            "Epoch: 1/50-Batch: 621/1875--D.loss:0.0849,G.loss:0.6334\n",
            "Epoch: 1/50-Batch: 622/1875--D.loss:0.1397,G.loss:0.8619\n",
            "Epoch: 1/50-Batch: 623/1875--D.loss:0.1320,G.loss:0.4176\n",
            "Epoch: 1/50-Batch: 624/1875--D.loss:0.0914,G.loss:0.8903\n",
            "Epoch: 1/50-Batch: 625/1875--D.loss:0.0882,G.loss:0.5860\n",
            "Epoch: 1/50-Batch: 626/1875--D.loss:0.1261,G.loss:0.5559\n",
            "Epoch: 1/50-Batch: 627/1875--D.loss:0.1247,G.loss:0.5822\n",
            "Epoch: 1/50-Batch: 628/1875--D.loss:0.1250,G.loss:0.4465\n",
            "Epoch: 1/50-Batch: 629/1875--D.loss:0.1512,G.loss:0.9191\n",
            "Epoch: 1/50-Batch: 630/1875--D.loss:0.1357,G.loss:0.3751\n",
            "Epoch: 1/50-Batch: 631/1875--D.loss:0.0737,G.loss:0.8067\n",
            "Epoch: 1/50-Batch: 632/1875--D.loss:0.0946,G.loss:0.6623\n",
            "Epoch: 1/50-Batch: 633/1875--D.loss:0.1084,G.loss:0.7555\n",
            "Epoch: 1/50-Batch: 634/1875--D.loss:0.1050,G.loss:0.4779\n",
            "Epoch: 1/50-Batch: 635/1875--D.loss:0.0908,G.loss:0.6025\n",
            "Epoch: 1/50-Batch: 636/1875--D.loss:0.0832,G.loss:0.7433\n",
            "Epoch: 1/50-Batch: 637/1875--D.loss:0.1250,G.loss:0.6129\n",
            "Epoch: 1/50-Batch: 638/1875--D.loss:0.1109,G.loss:0.4530\n",
            "Epoch: 1/50-Batch: 639/1875--D.loss:0.1116,G.loss:0.7521\n",
            "Epoch: 1/50-Batch: 640/1875--D.loss:0.0816,G.loss:0.5162\n",
            "Epoch: 1/50-Batch: 641/1875--D.loss:0.0863,G.loss:0.9389\n",
            "Epoch: 1/50-Batch: 642/1875--D.loss:0.1266,G.loss:0.4012\n",
            "Epoch: 1/50-Batch: 643/1875--D.loss:0.1161,G.loss:0.8595\n",
            "Epoch: 1/50-Batch: 644/1875--D.loss:0.1100,G.loss:0.6175\n",
            "Epoch: 1/50-Batch: 645/1875--D.loss:0.1074,G.loss:0.7048\n",
            "Epoch: 1/50-Batch: 646/1875--D.loss:0.1272,G.loss:0.3740\n",
            "Epoch: 1/50-Batch: 647/1875--D.loss:0.1558,G.loss:0.9255\n",
            "Epoch: 1/50-Batch: 648/1875--D.loss:0.2159,G.loss:0.2560\n",
            "Epoch: 1/50-Batch: 649/1875--D.loss:0.1914,G.loss:1.1633\n",
            "Epoch: 1/50-Batch: 650/1875--D.loss:0.1318,G.loss:0.3257\n",
            "Epoch: 1/50-Batch: 651/1875--D.loss:0.1146,G.loss:0.6670\n",
            "Epoch: 1/50-Batch: 652/1875--D.loss:0.1243,G.loss:0.5566\n",
            "Epoch: 1/50-Batch: 653/1875--D.loss:0.0833,G.loss:0.6545\n",
            "Epoch: 1/50-Batch: 654/1875--D.loss:0.1073,G.loss:0.5941\n",
            "Epoch: 1/50-Batch: 655/1875--D.loss:0.0894,G.loss:0.6418\n",
            "Epoch: 1/50-Batch: 656/1875--D.loss:0.1012,G.loss:0.6333\n",
            "Epoch: 1/50-Batch: 657/1875--D.loss:0.0970,G.loss:0.6422\n",
            "Epoch: 1/50-Batch: 658/1875--D.loss:0.1196,G.loss:0.5966\n",
            "Epoch: 1/50-Batch: 659/1875--D.loss:0.0967,G.loss:0.5965\n",
            "Epoch: 1/50-Batch: 660/1875--D.loss:0.1140,G.loss:0.6884\n",
            "Epoch: 1/50-Batch: 661/1875--D.loss:0.1110,G.loss:0.5190\n",
            "Epoch: 1/50-Batch: 662/1875--D.loss:0.1492,G.loss:1.0159\n",
            "Epoch: 1/50-Batch: 663/1875--D.loss:0.1450,G.loss:0.2973\n",
            "Epoch: 1/50-Batch: 664/1875--D.loss:0.1128,G.loss:0.7624\n",
            "Epoch: 1/50-Batch: 665/1875--D.loss:0.1248,G.loss:0.5952\n",
            "Epoch: 1/50-Batch: 666/1875--D.loss:0.1222,G.loss:0.3450\n",
            "Epoch: 1/50-Batch: 667/1875--D.loss:0.1136,G.loss:0.8210\n",
            "Epoch: 1/50-Batch: 668/1875--D.loss:0.0955,G.loss:0.5773\n",
            "Epoch: 1/50-Batch: 669/1875--D.loss:0.0689,G.loss:0.5638\n",
            "Epoch: 1/50-Batch: 670/1875--D.loss:0.1048,G.loss:0.9371\n",
            "Epoch: 1/50-Batch: 671/1875--D.loss:0.0904,G.loss:0.5507\n",
            "Epoch: 1/50-Batch: 672/1875--D.loss:0.1000,G.loss:0.7403\n",
            "Epoch: 1/50-Batch: 673/1875--D.loss:0.1104,G.loss:0.7706\n",
            "Epoch: 1/50-Batch: 674/1875--D.loss:0.1173,G.loss:0.4489\n",
            "Epoch: 1/50-Batch: 675/1875--D.loss:0.1432,G.loss:1.0975\n",
            "Epoch: 1/50-Batch: 676/1875--D.loss:0.1372,G.loss:0.3361\n",
            "Epoch: 1/50-Batch: 677/1875--D.loss:0.1276,G.loss:0.5602\n",
            "Epoch: 1/50-Batch: 678/1875--D.loss:0.1145,G.loss:0.7740\n",
            "Epoch: 1/50-Batch: 679/1875--D.loss:0.0991,G.loss:0.4794\n",
            "Epoch: 1/50-Batch: 680/1875--D.loss:0.0940,G.loss:0.7080\n",
            "Epoch: 1/50-Batch: 681/1875--D.loss:0.1030,G.loss:0.7178\n",
            "Epoch: 1/50-Batch: 682/1875--D.loss:0.1231,G.loss:0.5628\n",
            "Epoch: 1/50-Batch: 683/1875--D.loss:0.1144,G.loss:0.5057\n",
            "Epoch: 1/50-Batch: 684/1875--D.loss:0.1227,G.loss:0.9143\n",
            "Epoch: 1/50-Batch: 685/1875--D.loss:0.1249,G.loss:0.4516\n",
            "Epoch: 1/50-Batch: 686/1875--D.loss:0.1090,G.loss:0.5556\n",
            "Epoch: 1/50-Batch: 687/1875--D.loss:0.1121,G.loss:0.8217\n",
            "Epoch: 1/50-Batch: 688/1875--D.loss:0.1283,G.loss:0.3427\n",
            "Epoch: 1/50-Batch: 689/1875--D.loss:0.1185,G.loss:0.9617\n",
            "Epoch: 1/50-Batch: 690/1875--D.loss:0.1111,G.loss:0.4604\n",
            "Epoch: 1/50-Batch: 691/1875--D.loss:0.0707,G.loss:0.6741\n",
            "Epoch: 1/50-Batch: 692/1875--D.loss:0.1086,G.loss:0.7270\n",
            "Epoch: 1/50-Batch: 693/1875--D.loss:0.1145,G.loss:0.4904\n",
            "Epoch: 1/50-Batch: 694/1875--D.loss:0.1332,G.loss:0.8614\n",
            "Epoch: 1/50-Batch: 695/1875--D.loss:0.1483,G.loss:0.2973\n",
            "Epoch: 1/50-Batch: 696/1875--D.loss:0.1401,G.loss:0.8808\n",
            "Epoch: 1/50-Batch: 697/1875--D.loss:0.1201,G.loss:0.4526\n",
            "Epoch: 1/50-Batch: 698/1875--D.loss:0.0686,G.loss:0.7156\n",
            "Epoch: 1/50-Batch: 699/1875--D.loss:0.1350,G.loss:0.6831\n",
            "Epoch: 1/50-Batch: 700/1875--D.loss:0.1187,G.loss:0.4617\n",
            "Epoch: 1/50-Batch: 701/1875--D.loss:0.0858,G.loss:0.5580\n",
            "Epoch: 1/50-Batch: 702/1875--D.loss:0.1212,G.loss:0.7564\n",
            "Epoch: 1/50-Batch: 703/1875--D.loss:0.1305,G.loss:0.3749\n",
            "Epoch: 1/50-Batch: 704/1875--D.loss:0.0961,G.loss:0.7720\n",
            "Epoch: 1/50-Batch: 705/1875--D.loss:0.1284,G.loss:0.6059\n",
            "Epoch: 1/50-Batch: 706/1875--D.loss:0.1629,G.loss:0.2522\n",
            "Epoch: 1/50-Batch: 707/1875--D.loss:0.1587,G.loss:1.1328\n",
            "Epoch: 1/50-Batch: 708/1875--D.loss:0.1717,G.loss:0.2577\n",
            "Epoch: 1/50-Batch: 709/1875--D.loss:0.1126,G.loss:0.8580\n",
            "Epoch: 1/50-Batch: 710/1875--D.loss:0.1075,G.loss:0.6721\n",
            "Epoch: 1/50-Batch: 711/1875--D.loss:0.1110,G.loss:0.4532\n",
            "Epoch: 1/50-Batch: 712/1875--D.loss:0.1002,G.loss:0.6354\n",
            "Epoch: 1/50-Batch: 713/1875--D.loss:0.1021,G.loss:0.7458\n",
            "Epoch: 1/50-Batch: 714/1875--D.loss:0.1048,G.loss:0.4697\n",
            "Epoch: 1/50-Batch: 715/1875--D.loss:0.1095,G.loss:0.5948\n",
            "Epoch: 1/50-Batch: 716/1875--D.loss:0.1096,G.loss:0.5546\n",
            "Epoch: 1/50-Batch: 717/1875--D.loss:0.1045,G.loss:0.6976\n",
            "Epoch: 1/50-Batch: 718/1875--D.loss:0.0842,G.loss:0.8236\n",
            "Epoch: 1/50-Batch: 719/1875--D.loss:0.0994,G.loss:0.5166\n",
            "Epoch: 1/50-Batch: 720/1875--D.loss:0.1049,G.loss:0.7861\n",
            "Epoch: 1/50-Batch: 721/1875--D.loss:0.0978,G.loss:0.7079\n",
            "Epoch: 1/50-Batch: 722/1875--D.loss:0.1324,G.loss:0.5718\n",
            "Epoch: 1/50-Batch: 723/1875--D.loss:0.1015,G.loss:0.5303\n",
            "Epoch: 1/50-Batch: 724/1875--D.loss:0.0889,G.loss:0.6809\n",
            "Epoch: 1/50-Batch: 725/1875--D.loss:0.1123,G.loss:0.5728\n",
            "Epoch: 1/50-Batch: 726/1875--D.loss:0.0919,G.loss:0.7644\n",
            "Epoch: 1/50-Batch: 727/1875--D.loss:0.0967,G.loss:0.5088\n",
            "Epoch: 1/50-Batch: 728/1875--D.loss:0.1638,G.loss:0.9089\n",
            "Epoch: 1/50-Batch: 729/1875--D.loss:0.3260,G.loss:0.1402\n",
            "Epoch: 1/50-Batch: 730/1875--D.loss:0.5722,G.loss:2.2540\n",
            "Epoch: 1/50-Batch: 731/1875--D.loss:0.5335,G.loss:0.0147\n",
            "Epoch: 1/50-Batch: 732/1875--D.loss:0.2107,G.loss:0.2120\n",
            "Epoch: 1/50-Batch: 733/1875--D.loss:0.1836,G.loss:0.7060\n",
            "Epoch: 1/50-Batch: 734/1875--D.loss:0.1858,G.loss:0.7614\n",
            "Epoch: 1/50-Batch: 735/1875--D.loss:0.1216,G.loss:0.5412\n",
            "Epoch: 1/50-Batch: 736/1875--D.loss:0.1334,G.loss:0.4479\n",
            "Epoch: 1/50-Batch: 737/1875--D.loss:0.1219,G.loss:0.4598\n",
            "Epoch: 1/50-Batch: 738/1875--D.loss:0.1279,G.loss:0.4558\n",
            "Epoch: 1/50-Batch: 739/1875--D.loss:0.1264,G.loss:0.5642\n",
            "Epoch: 1/50-Batch: 740/1875--D.loss:0.1221,G.loss:0.4823\n",
            "Epoch: 1/50-Batch: 741/1875--D.loss:0.0909,G.loss:0.6222\n",
            "Epoch: 1/50-Batch: 742/1875--D.loss:0.0979,G.loss:0.6977\n",
            "Epoch: 1/50-Batch: 743/1875--D.loss:0.0978,G.loss:0.6767\n",
            "Epoch: 1/50-Batch: 744/1875--D.loss:0.0978,G.loss:0.5212\n",
            "Epoch: 1/50-Batch: 745/1875--D.loss:0.1039,G.loss:0.5074\n",
            "Epoch: 1/50-Batch: 746/1875--D.loss:0.0893,G.loss:0.5939\n",
            "Epoch: 1/50-Batch: 747/1875--D.loss:0.1000,G.loss:0.7132\n",
            "Epoch: 1/50-Batch: 748/1875--D.loss:0.0834,G.loss:0.6606\n",
            "Epoch: 1/50-Batch: 749/1875--D.loss:0.1131,G.loss:0.4912\n",
            "Epoch: 1/50-Batch: 750/1875--D.loss:0.1091,G.loss:0.5835\n",
            "Epoch: 1/50-Batch: 751/1875--D.loss:0.0901,G.loss:0.6196\n",
            "Epoch: 1/50-Batch: 752/1875--D.loss:0.1082,G.loss:0.5174\n",
            "Epoch: 1/50-Batch: 753/1875--D.loss:0.0890,G.loss:0.6020\n",
            "Epoch: 1/50-Batch: 754/1875--D.loss:0.0985,G.loss:0.8703\n",
            "Epoch: 1/50-Batch: 755/1875--D.loss:0.0951,G.loss:0.5471\n",
            "Epoch: 1/50-Batch: 756/1875--D.loss:0.0957,G.loss:0.7479\n",
            "Epoch: 1/50-Batch: 757/1875--D.loss:0.0971,G.loss:0.4618\n",
            "Epoch: 1/50-Batch: 758/1875--D.loss:0.1279,G.loss:0.7345\n",
            "Epoch: 1/50-Batch: 759/1875--D.loss:0.0991,G.loss:0.4738\n",
            "Epoch: 1/50-Batch: 760/1875--D.loss:0.0810,G.loss:0.6338\n",
            "Epoch: 1/50-Batch: 761/1875--D.loss:0.1042,G.loss:0.6534\n",
            "Epoch: 1/50-Batch: 762/1875--D.loss:0.0996,G.loss:0.5098\n",
            "Epoch: 1/50-Batch: 763/1875--D.loss:0.0904,G.loss:0.6149\n",
            "Epoch: 1/50-Batch: 764/1875--D.loss:0.0876,G.loss:0.7935\n",
            "Epoch: 1/50-Batch: 765/1875--D.loss:0.1075,G.loss:0.5018\n",
            "Epoch: 1/50-Batch: 766/1875--D.loss:0.0928,G.loss:0.6527\n",
            "Epoch: 1/50-Batch: 767/1875--D.loss:0.1183,G.loss:0.5522\n",
            "Epoch: 1/50-Batch: 768/1875--D.loss:0.0870,G.loss:0.5986\n",
            "Epoch: 1/50-Batch: 769/1875--D.loss:0.1014,G.loss:0.8699\n",
            "Epoch: 1/50-Batch: 770/1875--D.loss:0.1008,G.loss:0.4819\n",
            "Epoch: 1/50-Batch: 771/1875--D.loss:0.0988,G.loss:0.6168\n",
            "Epoch: 1/50-Batch: 772/1875--D.loss:0.1101,G.loss:0.8490\n",
            "Epoch: 1/50-Batch: 773/1875--D.loss:0.1150,G.loss:0.4036\n",
            "Epoch: 1/50-Batch: 774/1875--D.loss:0.1385,G.loss:0.9164\n",
            "Epoch: 1/50-Batch: 775/1875--D.loss:0.1876,G.loss:0.2526\n",
            "Epoch: 1/50-Batch: 776/1875--D.loss:0.1733,G.loss:0.9367\n",
            "Epoch: 1/50-Batch: 777/1875--D.loss:0.1238,G.loss:0.4398\n",
            "Epoch: 1/50-Batch: 778/1875--D.loss:0.1054,G.loss:0.7504\n",
            "Epoch: 1/50-Batch: 779/1875--D.loss:0.0888,G.loss:0.6788\n",
            "Epoch: 1/50-Batch: 780/1875--D.loss:0.1100,G.loss:0.5641\n",
            "Epoch: 1/50-Batch: 781/1875--D.loss:0.1084,G.loss:0.6366\n",
            "Epoch: 1/50-Batch: 782/1875--D.loss:0.1227,G.loss:0.4013\n",
            "Epoch: 1/50-Batch: 783/1875--D.loss:0.1385,G.loss:0.8381\n",
            "Epoch: 1/50-Batch: 784/1875--D.loss:0.1347,G.loss:0.4062\n",
            "Epoch: 1/50-Batch: 785/1875--D.loss:0.0738,G.loss:0.6549\n",
            "Epoch: 1/50-Batch: 786/1875--D.loss:0.0842,G.loss:0.5833\n",
            "Epoch: 1/50-Batch: 787/1875--D.loss:0.0910,G.loss:0.6068\n",
            "Epoch: 1/50-Batch: 788/1875--D.loss:0.1066,G.loss:0.3948\n",
            "Epoch: 1/50-Batch: 789/1875--D.loss:0.1036,G.loss:0.9294\n",
            "Epoch: 1/50-Batch: 790/1875--D.loss:0.1177,G.loss:0.4512\n",
            "Epoch: 1/50-Batch: 791/1875--D.loss:0.1015,G.loss:0.6657\n",
            "Epoch: 1/50-Batch: 792/1875--D.loss:0.1340,G.loss:1.0173\n",
            "Epoch: 1/50-Batch: 793/1875--D.loss:0.2022,G.loss:0.2268\n",
            "Epoch: 1/50-Batch: 794/1875--D.loss:0.1362,G.loss:0.9698\n",
            "Epoch: 1/50-Batch: 795/1875--D.loss:0.1139,G.loss:0.5645\n",
            "Epoch: 1/50-Batch: 796/1875--D.loss:0.1051,G.loss:0.4075\n",
            "Epoch: 1/50-Batch: 797/1875--D.loss:0.1274,G.loss:0.8284\n",
            "Epoch: 1/50-Batch: 798/1875--D.loss:0.0871,G.loss:0.5469\n",
            "Epoch: 1/50-Batch: 799/1875--D.loss:0.0987,G.loss:0.5427\n",
            "Epoch: 1/50-Batch: 800/1875--D.loss:0.1004,G.loss:0.5948\n",
            "Epoch: 1/50-Batch: 801/1875--D.loss:0.1089,G.loss:0.6928\n",
            "Epoch: 1/50-Batch: 802/1875--D.loss:0.0780,G.loss:0.6306\n",
            "Epoch: 1/50-Batch: 803/1875--D.loss:0.0874,G.loss:0.6404\n",
            "Epoch: 1/50-Batch: 804/1875--D.loss:0.0996,G.loss:0.6461\n",
            "Epoch: 1/50-Batch: 805/1875--D.loss:0.0805,G.loss:0.5983\n",
            "Epoch: 1/50-Batch: 806/1875--D.loss:0.0824,G.loss:0.7414\n",
            "Epoch: 1/50-Batch: 807/1875--D.loss:0.0916,G.loss:0.6796\n",
            "Epoch: 1/50-Batch: 808/1875--D.loss:0.1014,G.loss:0.4979\n",
            "Epoch: 1/50-Batch: 809/1875--D.loss:0.1475,G.loss:0.8755\n",
            "Epoch: 1/50-Batch: 810/1875--D.loss:0.2097,G.loss:0.2413\n",
            "Epoch: 1/50-Batch: 811/1875--D.loss:0.2228,G.loss:1.3988\n",
            "Epoch: 1/50-Batch: 812/1875--D.loss:0.1506,G.loss:0.2920\n",
            "Epoch: 1/50-Batch: 813/1875--D.loss:0.1121,G.loss:0.4966\n",
            "Epoch: 1/50-Batch: 814/1875--D.loss:0.1499,G.loss:0.8267\n",
            "Epoch: 1/50-Batch: 815/1875--D.loss:0.1349,G.loss:0.4609\n",
            "Epoch: 1/50-Batch: 816/1875--D.loss:0.0946,G.loss:0.4540\n",
            "Epoch: 1/50-Batch: 817/1875--D.loss:0.0997,G.loss:0.7110\n",
            "Epoch: 1/50-Batch: 818/1875--D.loss:0.0949,G.loss:0.7255\n",
            "Epoch: 1/50-Batch: 819/1875--D.loss:0.0889,G.loss:0.5354\n",
            "Epoch: 1/50-Batch: 820/1875--D.loss:0.1046,G.loss:0.5589\n",
            "Epoch: 1/50-Batch: 821/1875--D.loss:0.0878,G.loss:0.6290\n",
            "Epoch: 1/50-Batch: 822/1875--D.loss:0.0843,G.loss:0.7625\n",
            "Epoch: 1/50-Batch: 823/1875--D.loss:0.0872,G.loss:0.6476\n",
            "Epoch: 1/50-Batch: 824/1875--D.loss:0.0828,G.loss:0.5685\n",
            "Epoch: 1/50-Batch: 825/1875--D.loss:0.1014,G.loss:0.6405\n",
            "Epoch: 1/50-Batch: 826/1875--D.loss:0.0914,G.loss:0.8277\n",
            "Epoch: 1/50-Batch: 827/1875--D.loss:0.0859,G.loss:0.6305\n",
            "Epoch: 1/50-Batch: 828/1875--D.loss:0.1131,G.loss:0.7534\n",
            "Epoch: 1/50-Batch: 829/1875--D.loss:0.1142,G.loss:0.3736\n",
            "Epoch: 1/50-Batch: 830/1875--D.loss:0.1655,G.loss:0.9505\n",
            "Epoch: 1/50-Batch: 831/1875--D.loss:0.1541,G.loss:0.3084\n",
            "Epoch: 1/50-Batch: 832/1875--D.loss:0.1218,G.loss:0.8941\n",
            "Epoch: 1/50-Batch: 833/1875--D.loss:0.1245,G.loss:0.4002\n",
            "Epoch: 1/50-Batch: 834/1875--D.loss:0.0841,G.loss:0.6670\n",
            "Epoch: 1/50-Batch: 835/1875--D.loss:0.0868,G.loss:0.6559\n",
            "Epoch: 1/50-Batch: 836/1875--D.loss:0.1080,G.loss:0.7113\n",
            "Epoch: 1/50-Batch: 837/1875--D.loss:0.1236,G.loss:0.5788\n",
            "Epoch: 1/50-Batch: 838/1875--D.loss:0.1094,G.loss:0.5950\n",
            "Epoch: 1/50-Batch: 839/1875--D.loss:0.0909,G.loss:0.7518\n",
            "Epoch: 1/50-Batch: 840/1875--D.loss:0.1110,G.loss:0.6315\n",
            "Epoch: 1/50-Batch: 841/1875--D.loss:0.0881,G.loss:0.6226\n",
            "Epoch: 1/50-Batch: 842/1875--D.loss:0.1080,G.loss:0.9079\n",
            "Epoch: 1/50-Batch: 843/1875--D.loss:0.1613,G.loss:0.3072\n",
            "Epoch: 1/50-Batch: 844/1875--D.loss:0.1698,G.loss:0.9522\n",
            "Epoch: 1/50-Batch: 845/1875--D.loss:0.0892,G.loss:0.4710\n",
            "Epoch: 1/50-Batch: 846/1875--D.loss:0.1131,G.loss:0.4711\n",
            "Epoch: 1/50-Batch: 847/1875--D.loss:0.1229,G.loss:1.0230\n",
            "Epoch: 1/50-Batch: 848/1875--D.loss:0.1108,G.loss:0.6091\n",
            "Epoch: 1/50-Batch: 849/1875--D.loss:0.1361,G.loss:0.4442\n",
            "Epoch: 1/50-Batch: 850/1875--D.loss:0.0878,G.loss:0.6728\n",
            "Epoch: 1/50-Batch: 851/1875--D.loss:0.1239,G.loss:0.7588\n",
            "Epoch: 1/50-Batch: 852/1875--D.loss:0.1047,G.loss:0.4084\n",
            "Epoch: 1/50-Batch: 853/1875--D.loss:0.1646,G.loss:0.9269\n",
            "Epoch: 1/50-Batch: 854/1875--D.loss:0.1142,G.loss:0.4049\n",
            "Epoch: 1/50-Batch: 855/1875--D.loss:0.0754,G.loss:0.5903\n",
            "Epoch: 1/50-Batch: 856/1875--D.loss:0.0954,G.loss:0.8918\n",
            "Epoch: 1/50-Batch: 857/1875--D.loss:0.0928,G.loss:0.5245\n",
            "Epoch: 1/50-Batch: 858/1875--D.loss:0.1058,G.loss:0.5203\n",
            "Epoch: 1/50-Batch: 859/1875--D.loss:0.0952,G.loss:0.7126\n",
            "Epoch: 1/50-Batch: 860/1875--D.loss:0.1206,G.loss:0.7438\n",
            "Epoch: 1/50-Batch: 861/1875--D.loss:0.1072,G.loss:0.4202\n",
            "Epoch: 1/50-Batch: 862/1875--D.loss:0.1166,G.loss:1.0391\n",
            "Epoch: 1/50-Batch: 863/1875--D.loss:0.1187,G.loss:0.4180\n",
            "Epoch: 1/50-Batch: 864/1875--D.loss:0.1277,G.loss:0.5760\n",
            "Epoch: 1/50-Batch: 865/1875--D.loss:0.0907,G.loss:0.8484\n",
            "Epoch: 1/50-Batch: 866/1875--D.loss:0.1136,G.loss:0.5643\n",
            "Epoch: 1/50-Batch: 867/1875--D.loss:0.1018,G.loss:0.6282\n",
            "Epoch: 1/50-Batch: 868/1875--D.loss:0.1364,G.loss:0.7513\n",
            "Epoch: 1/50-Batch: 869/1875--D.loss:0.1073,G.loss:0.3587\n",
            "Epoch: 1/50-Batch: 870/1875--D.loss:0.0930,G.loss:0.8579\n",
            "Epoch: 1/50-Batch: 871/1875--D.loss:0.1029,G.loss:0.6605\n",
            "Epoch: 1/50-Batch: 872/1875--D.loss:0.1053,G.loss:0.5866\n",
            "Epoch: 1/50-Batch: 873/1875--D.loss:0.1387,G.loss:0.7794\n",
            "Epoch: 1/50-Batch: 874/1875--D.loss:0.1731,G.loss:0.2532\n",
            "Epoch: 1/50-Batch: 875/1875--D.loss:0.1413,G.loss:1.2720\n",
            "Epoch: 1/50-Batch: 876/1875--D.loss:0.1074,G.loss:0.4138\n",
            "Epoch: 1/50-Batch: 877/1875--D.loss:0.0867,G.loss:0.5578\n",
            "Epoch: 1/50-Batch: 878/1875--D.loss:0.0825,G.loss:0.7322\n",
            "Epoch: 1/50-Batch: 879/1875--D.loss:0.0871,G.loss:0.7718\n",
            "Epoch: 1/50-Batch: 880/1875--D.loss:0.1168,G.loss:0.5528\n",
            "Epoch: 1/50-Batch: 881/1875--D.loss:0.1103,G.loss:0.6535\n",
            "Epoch: 1/50-Batch: 882/1875--D.loss:0.1047,G.loss:0.4868\n",
            "Epoch: 1/50-Batch: 883/1875--D.loss:0.1304,G.loss:0.8278\n",
            "Epoch: 1/50-Batch: 884/1875--D.loss:0.1467,G.loss:0.2982\n",
            "Epoch: 1/50-Batch: 885/1875--D.loss:0.1258,G.loss:1.0742\n",
            "Epoch: 1/50-Batch: 886/1875--D.loss:0.0932,G.loss:0.5497\n",
            "Epoch: 1/50-Batch: 887/1875--D.loss:0.0530,G.loss:0.6014\n",
            "Epoch: 1/50-Batch: 888/1875--D.loss:0.0991,G.loss:0.7512\n",
            "Epoch: 1/50-Batch: 889/1875--D.loss:0.1041,G.loss:0.5400\n",
            "Epoch: 1/50-Batch: 890/1875--D.loss:0.1072,G.loss:0.8829\n",
            "Epoch: 1/50-Batch: 891/1875--D.loss:0.1053,G.loss:0.5373\n",
            "Epoch: 1/50-Batch: 892/1875--D.loss:0.0979,G.loss:0.5371\n",
            "Epoch: 1/50-Batch: 893/1875--D.loss:0.1286,G.loss:0.6651\n",
            "Epoch: 1/50-Batch: 894/1875--D.loss:0.1103,G.loss:0.5348\n",
            "Epoch: 1/50-Batch: 895/1875--D.loss:0.0839,G.loss:0.7485\n",
            "Epoch: 1/50-Batch: 896/1875--D.loss:0.0932,G.loss:0.5983\n",
            "Epoch: 1/50-Batch: 897/1875--D.loss:0.0818,G.loss:0.6523\n",
            "Epoch: 1/50-Batch: 898/1875--D.loss:0.0898,G.loss:0.7189\n",
            "Epoch: 1/50-Batch: 899/1875--D.loss:0.0930,G.loss:0.6865\n",
            "Epoch: 1/50-Batch: 900/1875--D.loss:0.0864,G.loss:0.7821\n",
            "Epoch: 1/50-Batch: 901/1875--D.loss:0.0896,G.loss:0.5305\n",
            "Epoch: 1/50-Batch: 902/1875--D.loss:0.1179,G.loss:0.9307\n",
            "Epoch: 1/50-Batch: 903/1875--D.loss:0.1262,G.loss:0.4851\n",
            "Epoch: 1/50-Batch: 904/1875--D.loss:0.1032,G.loss:0.7512\n",
            "Epoch: 1/50-Batch: 905/1875--D.loss:0.1626,G.loss:0.4644\n",
            "Epoch: 1/50-Batch: 906/1875--D.loss:0.1220,G.loss:0.8071\n",
            "Epoch: 1/50-Batch: 907/1875--D.loss:0.1234,G.loss:0.4440\n",
            "Epoch: 1/50-Batch: 908/1875--D.loss:0.1535,G.loss:0.9144\n",
            "Epoch: 1/50-Batch: 909/1875--D.loss:0.1811,G.loss:0.3326\n",
            "Epoch: 1/50-Batch: 910/1875--D.loss:0.1071,G.loss:0.7688\n",
            "Epoch: 1/50-Batch: 911/1875--D.loss:0.1196,G.loss:0.5418\n",
            "Epoch: 1/50-Batch: 912/1875--D.loss:0.1036,G.loss:0.5120\n",
            "Epoch: 1/50-Batch: 913/1875--D.loss:0.0840,G.loss:0.6025\n",
            "Epoch: 1/50-Batch: 914/1875--D.loss:0.1174,G.loss:0.6438\n",
            "Epoch: 1/50-Batch: 915/1875--D.loss:0.1297,G.loss:0.8696\n",
            "Epoch: 1/50-Batch: 916/1875--D.loss:0.1370,G.loss:0.4063\n",
            "Epoch: 1/50-Batch: 917/1875--D.loss:0.1095,G.loss:0.8420\n",
            "Epoch: 1/50-Batch: 918/1875--D.loss:0.1254,G.loss:0.6187\n",
            "Epoch: 1/50-Batch: 919/1875--D.loss:0.0706,G.loss:0.5875\n",
            "Epoch: 1/50-Batch: 920/1875--D.loss:0.1221,G.loss:0.8866\n",
            "Epoch: 1/50-Batch: 921/1875--D.loss:0.1418,G.loss:0.3840\n",
            "Epoch: 1/50-Batch: 922/1875--D.loss:0.1465,G.loss:1.0267\n",
            "Epoch: 1/50-Batch: 923/1875--D.loss:0.1528,G.loss:0.3736\n",
            "Epoch: 1/50-Batch: 924/1875--D.loss:0.1267,G.loss:0.7865\n",
            "Epoch: 1/50-Batch: 925/1875--D.loss:0.1108,G.loss:0.5763\n",
            "Epoch: 1/50-Batch: 926/1875--D.loss:0.1222,G.loss:0.4906\n",
            "Epoch: 1/50-Batch: 927/1875--D.loss:0.1233,G.loss:0.5223\n",
            "Epoch: 1/50-Batch: 928/1875--D.loss:0.1116,G.loss:0.5363\n",
            "Epoch: 1/50-Batch: 929/1875--D.loss:0.1298,G.loss:0.6534\n",
            "Epoch: 1/50-Batch: 930/1875--D.loss:0.1069,G.loss:0.5723\n",
            "Epoch: 1/50-Batch: 931/1875--D.loss:0.1032,G.loss:0.6319\n",
            "Epoch: 1/50-Batch: 932/1875--D.loss:0.1087,G.loss:0.6333\n",
            "Epoch: 1/50-Batch: 933/1875--D.loss:0.1299,G.loss:0.9424\n",
            "Epoch: 1/50-Batch: 934/1875--D.loss:0.1328,G.loss:0.3655\n",
            "Epoch: 1/50-Batch: 935/1875--D.loss:0.1215,G.loss:0.8812\n",
            "Epoch: 1/50-Batch: 936/1875--D.loss:0.1506,G.loss:0.5744\n",
            "Epoch: 1/50-Batch: 937/1875--D.loss:0.0854,G.loss:0.7006\n",
            "Epoch: 1/50-Batch: 938/1875--D.loss:0.1014,G.loss:0.5721\n",
            "Epoch: 1/50-Batch: 939/1875--D.loss:0.0811,G.loss:0.5747\n",
            "Epoch: 1/50-Batch: 940/1875--D.loss:0.0934,G.loss:0.6287\n",
            "Epoch: 1/50-Batch: 941/1875--D.loss:0.1560,G.loss:0.5498\n",
            "Epoch: 1/50-Batch: 942/1875--D.loss:0.0962,G.loss:0.5558\n",
            "Epoch: 1/50-Batch: 943/1875--D.loss:0.1405,G.loss:0.8566\n",
            "Epoch: 1/50-Batch: 944/1875--D.loss:0.1901,G.loss:0.2459\n",
            "Epoch: 1/50-Batch: 945/1875--D.loss:0.1785,G.loss:1.1275\n",
            "Epoch: 1/50-Batch: 946/1875--D.loss:0.2254,G.loss:0.2005\n",
            "Epoch: 1/50-Batch: 947/1875--D.loss:0.1966,G.loss:0.9825\n",
            "Epoch: 1/50-Batch: 948/1875--D.loss:0.1151,G.loss:0.4619\n",
            "Epoch: 1/50-Batch: 949/1875--D.loss:0.1190,G.loss:0.5082\n",
            "Epoch: 1/50-Batch: 950/1875--D.loss:0.1126,G.loss:0.6483\n",
            "Epoch: 1/50-Batch: 951/1875--D.loss:0.0982,G.loss:0.7287\n",
            "Epoch: 1/50-Batch: 952/1875--D.loss:0.1010,G.loss:0.5415\n",
            "Epoch: 1/50-Batch: 953/1875--D.loss:0.0911,G.loss:0.6554\n",
            "Epoch: 1/50-Batch: 954/1875--D.loss:0.1184,G.loss:0.5956\n",
            "Epoch: 1/50-Batch: 955/1875--D.loss:0.0865,G.loss:0.5610\n",
            "Epoch: 1/50-Batch: 956/1875--D.loss:0.0962,G.loss:0.7256\n",
            "Epoch: 1/50-Batch: 957/1875--D.loss:0.0872,G.loss:0.5200\n",
            "Epoch: 1/50-Batch: 958/1875--D.loss:0.0876,G.loss:0.6669\n",
            "Epoch: 1/50-Batch: 959/1875--D.loss:0.1188,G.loss:0.7226\n",
            "Epoch: 1/50-Batch: 960/1875--D.loss:0.0970,G.loss:0.4596\n",
            "Epoch: 1/50-Batch: 961/1875--D.loss:0.0782,G.loss:0.7475\n",
            "Epoch: 1/50-Batch: 962/1875--D.loss:0.0895,G.loss:0.8289\n",
            "Epoch: 1/50-Batch: 963/1875--D.loss:0.1200,G.loss:0.4517\n",
            "Epoch: 1/50-Batch: 964/1875--D.loss:0.1230,G.loss:0.8797\n",
            "Epoch: 1/50-Batch: 965/1875--D.loss:0.1419,G.loss:0.4742\n",
            "Epoch: 1/50-Batch: 966/1875--D.loss:0.1139,G.loss:0.6248\n",
            "Epoch: 1/50-Batch: 967/1875--D.loss:0.0811,G.loss:0.7488\n",
            "Epoch: 1/50-Batch: 968/1875--D.loss:0.1185,G.loss:0.5061\n",
            "Epoch: 1/50-Batch: 969/1875--D.loss:0.1231,G.loss:0.6227\n",
            "Epoch: 1/50-Batch: 970/1875--D.loss:0.1006,G.loss:0.6451\n",
            "Epoch: 1/50-Batch: 971/1875--D.loss:0.0977,G.loss:0.7708\n",
            "Epoch: 1/50-Batch: 972/1875--D.loss:0.0996,G.loss:0.6039\n",
            "Epoch: 1/50-Batch: 973/1875--D.loss:0.0955,G.loss:0.5864\n",
            "Epoch: 1/50-Batch: 974/1875--D.loss:0.0822,G.loss:0.9235\n",
            "Epoch: 1/50-Batch: 975/1875--D.loss:0.1638,G.loss:0.3017\n",
            "Epoch: 1/50-Batch: 976/1875--D.loss:0.2966,G.loss:1.4117\n",
            "Epoch: 1/50-Batch: 977/1875--D.loss:0.3462,G.loss:0.0954\n",
            "Epoch: 1/50-Batch: 978/1875--D.loss:0.0968,G.loss:0.6534\n",
            "Epoch: 1/50-Batch: 979/1875--D.loss:0.1586,G.loss:0.9973\n",
            "Epoch: 1/50-Batch: 980/1875--D.loss:0.1082,G.loss:0.4414\n",
            "Epoch: 1/50-Batch: 981/1875--D.loss:0.1189,G.loss:0.4703\n",
            "Epoch: 1/50-Batch: 982/1875--D.loss:0.0739,G.loss:0.7041\n",
            "Epoch: 1/50-Batch: 983/1875--D.loss:0.1200,G.loss:0.7195\n",
            "Epoch: 1/50-Batch: 984/1875--D.loss:0.1048,G.loss:0.6178\n",
            "Epoch: 1/50-Batch: 985/1875--D.loss:0.1099,G.loss:0.4701\n",
            "Epoch: 1/50-Batch: 986/1875--D.loss:0.1014,G.loss:0.4788\n",
            "Epoch: 1/50-Batch: 987/1875--D.loss:0.0764,G.loss:0.6914\n",
            "Epoch: 1/50-Batch: 988/1875--D.loss:0.1187,G.loss:0.8618\n",
            "Epoch: 1/50-Batch: 989/1875--D.loss:0.1090,G.loss:0.5365\n",
            "Epoch: 1/50-Batch: 990/1875--D.loss:0.1391,G.loss:0.4914\n",
            "Epoch: 1/50-Batch: 991/1875--D.loss:0.0788,G.loss:0.8028\n",
            "Epoch: 1/50-Batch: 992/1875--D.loss:0.0988,G.loss:0.7373\n",
            "Epoch: 1/50-Batch: 993/1875--D.loss:0.1084,G.loss:0.5776\n",
            "Epoch: 1/50-Batch: 994/1875--D.loss:0.0917,G.loss:0.5603\n",
            "Epoch: 1/50-Batch: 995/1875--D.loss:0.1261,G.loss:0.8201\n",
            "Epoch: 1/50-Batch: 996/1875--D.loss:0.1197,G.loss:0.4984\n",
            "Epoch: 1/50-Batch: 997/1875--D.loss:0.1099,G.loss:0.4964\n",
            "Epoch: 1/50-Batch: 998/1875--D.loss:0.0894,G.loss:0.6346\n",
            "Epoch: 1/50-Batch: 999/1875--D.loss:0.0925,G.loss:0.7849\n",
            "Epoch: 1/50-Batch: 1000/1875--D.loss:0.1469,G.loss:0.5496\n",
            "Epoch: 1/50-Batch: 1001/1875--D.loss:0.1238,G.loss:0.3636\n",
            "Epoch: 1/50-Batch: 1002/1875--D.loss:0.1403,G.loss:0.7283\n",
            "Epoch: 1/50-Batch: 1003/1875--D.loss:0.1258,G.loss:0.4762\n",
            "Epoch: 1/50-Batch: 1004/1875--D.loss:0.1362,G.loss:0.5610\n",
            "Epoch: 1/50-Batch: 1005/1875--D.loss:0.1042,G.loss:0.5435\n",
            "Epoch: 1/50-Batch: 1006/1875--D.loss:0.1121,G.loss:0.7950\n",
            "Epoch: 1/50-Batch: 1007/1875--D.loss:0.1107,G.loss:0.4482\n",
            "Epoch: 1/50-Batch: 1008/1875--D.loss:0.1042,G.loss:0.7283\n",
            "Epoch: 1/50-Batch: 1009/1875--D.loss:0.1015,G.loss:0.7106\n",
            "Epoch: 1/50-Batch: 1010/1875--D.loss:0.1482,G.loss:0.4764\n",
            "Epoch: 1/50-Batch: 1011/1875--D.loss:0.1013,G.loss:0.6790\n",
            "Epoch: 1/50-Batch: 1012/1875--D.loss:0.1077,G.loss:0.7410\n",
            "Epoch: 1/50-Batch: 1013/1875--D.loss:0.0889,G.loss:0.5725\n",
            "Epoch: 1/50-Batch: 1014/1875--D.loss:0.1215,G.loss:0.7851\n",
            "Epoch: 1/50-Batch: 1015/1875--D.loss:0.1078,G.loss:0.4717\n",
            "Epoch: 1/50-Batch: 1016/1875--D.loss:0.1527,G.loss:0.9048\n",
            "Epoch: 1/50-Batch: 1017/1875--D.loss:0.1159,G.loss:0.4055\n",
            "Epoch: 1/50-Batch: 1018/1875--D.loss:0.1051,G.loss:0.5471\n",
            "Epoch: 1/50-Batch: 1019/1875--D.loss:0.1268,G.loss:0.8491\n",
            "Epoch: 1/50-Batch: 1020/1875--D.loss:0.1672,G.loss:0.3487\n",
            "Epoch: 1/50-Batch: 1021/1875--D.loss:0.1399,G.loss:0.8423\n",
            "Epoch: 1/50-Batch: 1022/1875--D.loss:0.1009,G.loss:0.6615\n",
            "Epoch: 1/50-Batch: 1023/1875--D.loss:0.0969,G.loss:0.5556\n",
            "Epoch: 1/50-Batch: 1024/1875--D.loss:0.0910,G.loss:0.7776\n",
            "Epoch: 1/50-Batch: 1025/1875--D.loss:0.1045,G.loss:0.5244\n",
            "Epoch: 1/50-Batch: 1026/1875--D.loss:0.1335,G.loss:0.7833\n",
            "Epoch: 1/50-Batch: 1027/1875--D.loss:0.1592,G.loss:0.3275\n",
            "Epoch: 1/50-Batch: 1028/1875--D.loss:0.1767,G.loss:1.1881\n",
            "Epoch: 1/50-Batch: 1029/1875--D.loss:0.1542,G.loss:0.3356\n",
            "Epoch: 1/50-Batch: 1030/1875--D.loss:0.1245,G.loss:0.4311\n",
            "Epoch: 1/50-Batch: 1031/1875--D.loss:0.1803,G.loss:1.0252\n",
            "Epoch: 1/50-Batch: 1032/1875--D.loss:0.1359,G.loss:0.3757\n",
            "Epoch: 1/50-Batch: 1033/1875--D.loss:0.0924,G.loss:0.5435\n",
            "Epoch: 1/50-Batch: 1034/1875--D.loss:0.1078,G.loss:0.6291\n",
            "Epoch: 1/50-Batch: 1035/1875--D.loss:0.0775,G.loss:0.7201\n",
            "Epoch: 1/50-Batch: 1036/1875--D.loss:0.1144,G.loss:0.5283\n",
            "Epoch: 1/50-Batch: 1037/1875--D.loss:0.1099,G.loss:0.5042\n",
            "Epoch: 1/50-Batch: 1038/1875--D.loss:0.1603,G.loss:0.7365\n",
            "Epoch: 1/50-Batch: 1039/1875--D.loss:0.1150,G.loss:0.4232\n",
            "Epoch: 1/50-Batch: 1040/1875--D.loss:0.0856,G.loss:0.6151\n",
            "Epoch: 1/50-Batch: 1041/1875--D.loss:0.1194,G.loss:0.8770\n",
            "Epoch: 1/50-Batch: 1042/1875--D.loss:0.1149,G.loss:0.4919\n",
            "Epoch: 1/50-Batch: 1043/1875--D.loss:0.1411,G.loss:0.6637\n",
            "Epoch: 1/50-Batch: 1044/1875--D.loss:0.1103,G.loss:0.5017\n",
            "Epoch: 1/50-Batch: 1045/1875--D.loss:0.1809,G.loss:0.7537\n",
            "Epoch: 1/50-Batch: 1046/1875--D.loss:0.1847,G.loss:0.2364\n",
            "Epoch: 1/50-Batch: 1047/1875--D.loss:0.1402,G.loss:0.7791\n",
            "Epoch: 1/50-Batch: 1048/1875--D.loss:0.1123,G.loss:0.5777\n",
            "Epoch: 1/50-Batch: 1049/1875--D.loss:0.1180,G.loss:0.4112\n",
            "Epoch: 1/50-Batch: 1050/1875--D.loss:0.1209,G.loss:0.6583\n",
            "Epoch: 1/50-Batch: 1051/1875--D.loss:0.1303,G.loss:0.6412\n",
            "Epoch: 1/50-Batch: 1052/1875--D.loss:0.1403,G.loss:0.4832\n",
            "Epoch: 1/50-Batch: 1053/1875--D.loss:0.1275,G.loss:0.4361\n",
            "Epoch: 1/50-Batch: 1054/1875--D.loss:0.1260,G.loss:0.7326\n",
            "Epoch: 1/50-Batch: 1055/1875--D.loss:0.1162,G.loss:0.5717\n",
            "Epoch: 1/50-Batch: 1056/1875--D.loss:0.1143,G.loss:0.4789\n",
            "Epoch: 1/50-Batch: 1057/1875--D.loss:0.1040,G.loss:0.7707\n",
            "Epoch: 1/50-Batch: 1058/1875--D.loss:0.0992,G.loss:0.5896\n",
            "Epoch: 1/50-Batch: 1059/1875--D.loss:0.1401,G.loss:0.5607\n",
            "Epoch: 1/50-Batch: 1060/1875--D.loss:0.1745,G.loss:0.4698\n",
            "Epoch: 1/50-Batch: 1061/1875--D.loss:0.1467,G.loss:0.5188\n",
            "Epoch: 1/50-Batch: 1062/1875--D.loss:0.1411,G.loss:0.3781\n",
            "Epoch: 1/50-Batch: 1063/1875--D.loss:0.1156,G.loss:0.6309\n",
            "Epoch: 1/50-Batch: 1064/1875--D.loss:0.1371,G.loss:0.7084\n",
            "Epoch: 1/50-Batch: 1065/1875--D.loss:0.1447,G.loss:0.3396\n",
            "Epoch: 1/50-Batch: 1066/1875--D.loss:0.1459,G.loss:0.8242\n",
            "Epoch: 1/50-Batch: 1067/1875--D.loss:0.1138,G.loss:0.4321\n",
            "Epoch: 1/50-Batch: 1068/1875--D.loss:0.1100,G.loss:0.5851\n",
            "Epoch: 1/50-Batch: 1069/1875--D.loss:0.1005,G.loss:0.8795\n",
            "Epoch: 1/50-Batch: 1070/1875--D.loss:0.1188,G.loss:0.4598\n",
            "Epoch: 1/50-Batch: 1071/1875--D.loss:0.1227,G.loss:0.6500\n",
            "Epoch: 1/50-Batch: 1072/1875--D.loss:0.1008,G.loss:0.6429\n",
            "Epoch: 1/50-Batch: 1073/1875--D.loss:0.1233,G.loss:0.6478\n",
            "Epoch: 1/50-Batch: 1074/1875--D.loss:0.1283,G.loss:0.4067\n",
            "Epoch: 1/50-Batch: 1075/1875--D.loss:0.1286,G.loss:0.8083\n",
            "Epoch: 1/50-Batch: 1076/1875--D.loss:0.1847,G.loss:0.2332\n",
            "Epoch: 1/50-Batch: 1077/1875--D.loss:0.1599,G.loss:1.0257\n",
            "Epoch: 1/50-Batch: 1078/1875--D.loss:0.1397,G.loss:0.3549\n",
            "Epoch: 1/50-Batch: 1079/1875--D.loss:0.1074,G.loss:0.5872\n",
            "Epoch: 1/50-Batch: 1080/1875--D.loss:0.1278,G.loss:0.8565\n",
            "Epoch: 1/50-Batch: 1081/1875--D.loss:0.1015,G.loss:0.5064\n",
            "Epoch: 1/50-Batch: 1082/1875--D.loss:0.1048,G.loss:0.4833\n",
            "Epoch: 1/50-Batch: 1083/1875--D.loss:0.0965,G.loss:0.7451\n",
            "Epoch: 1/50-Batch: 1084/1875--D.loss:0.0949,G.loss:0.5936\n",
            "Epoch: 1/50-Batch: 1085/1875--D.loss:0.1113,G.loss:0.4456\n",
            "Epoch: 1/50-Batch: 1086/1875--D.loss:0.1015,G.loss:0.8072\n",
            "Epoch: 1/50-Batch: 1087/1875--D.loss:0.0965,G.loss:0.5417\n",
            "Epoch: 1/50-Batch: 1088/1875--D.loss:0.1000,G.loss:0.5041\n",
            "Epoch: 1/50-Batch: 1089/1875--D.loss:0.0834,G.loss:1.0090\n",
            "Epoch: 1/50-Batch: 1090/1875--D.loss:0.0975,G.loss:0.6422\n",
            "Epoch: 1/50-Batch: 1091/1875--D.loss:0.0992,G.loss:0.4367\n",
            "Epoch: 1/50-Batch: 1092/1875--D.loss:0.1360,G.loss:0.8888\n",
            "Epoch: 1/50-Batch: 1093/1875--D.loss:0.1644,G.loss:0.2980\n",
            "Epoch: 1/50-Batch: 1094/1875--D.loss:0.1624,G.loss:1.0669\n",
            "Epoch: 1/50-Batch: 1095/1875--D.loss:0.1341,G.loss:0.4337\n",
            "Epoch: 1/50-Batch: 1096/1875--D.loss:0.1167,G.loss:0.7221\n",
            "Epoch: 1/50-Batch: 1097/1875--D.loss:0.1739,G.loss:0.8961\n",
            "Epoch: 1/50-Batch: 1098/1875--D.loss:0.1724,G.loss:0.3062\n",
            "Epoch: 1/50-Batch: 1099/1875--D.loss:0.1559,G.loss:0.7158\n",
            "Epoch: 1/50-Batch: 1100/1875--D.loss:0.1500,G.loss:0.3898\n",
            "Epoch: 1/50-Batch: 1101/1875--D.loss:0.1333,G.loss:0.7751\n",
            "Epoch: 1/50-Batch: 1102/1875--D.loss:0.1067,G.loss:0.4360\n",
            "Epoch: 1/50-Batch: 1103/1875--D.loss:0.0874,G.loss:0.7473\n",
            "Epoch: 1/50-Batch: 1104/1875--D.loss:0.0956,G.loss:0.6638\n",
            "Epoch: 1/50-Batch: 1105/1875--D.loss:0.1110,G.loss:0.4565\n",
            "Epoch: 1/50-Batch: 1106/1875--D.loss:0.1340,G.loss:0.6108\n",
            "Epoch: 1/50-Batch: 1107/1875--D.loss:0.0998,G.loss:0.5791\n",
            "Epoch: 1/50-Batch: 1108/1875--D.loss:0.1601,G.loss:0.7897\n",
            "Epoch: 1/50-Batch: 1109/1875--D.loss:0.1336,G.loss:0.4257\n",
            "Epoch: 1/50-Batch: 1110/1875--D.loss:0.1464,G.loss:0.5030\n",
            "Epoch: 1/50-Batch: 1111/1875--D.loss:0.1323,G.loss:0.7684\n",
            "Epoch: 1/50-Batch: 1112/1875--D.loss:0.1349,G.loss:0.3855\n",
            "Epoch: 1/50-Batch: 1113/1875--D.loss:0.1228,G.loss:0.7632\n",
            "Epoch: 1/50-Batch: 1114/1875--D.loss:0.1097,G.loss:0.5422\n",
            "Epoch: 1/50-Batch: 1115/1875--D.loss:0.1164,G.loss:0.5781\n",
            "Epoch: 1/50-Batch: 1116/1875--D.loss:0.1245,G.loss:0.5085\n",
            "Epoch: 1/50-Batch: 1117/1875--D.loss:0.1163,G.loss:0.7217\n",
            "Epoch: 1/50-Batch: 1118/1875--D.loss:0.1239,G.loss:0.4938\n",
            "Epoch: 1/50-Batch: 1119/1875--D.loss:0.1323,G.loss:0.4997\n",
            "Epoch: 1/50-Batch: 1120/1875--D.loss:0.1367,G.loss:0.7738\n",
            "Epoch: 1/50-Batch: 1121/1875--D.loss:0.1423,G.loss:0.3326\n",
            "Epoch: 1/50-Batch: 1122/1875--D.loss:0.1218,G.loss:1.0254\n",
            "Epoch: 1/50-Batch: 1123/1875--D.loss:0.1250,G.loss:0.3716\n",
            "Epoch: 1/50-Batch: 1124/1875--D.loss:0.0999,G.loss:0.5546\n",
            "Epoch: 1/50-Batch: 1125/1875--D.loss:0.1054,G.loss:0.8234\n",
            "Epoch: 1/50-Batch: 1126/1875--D.loss:0.1119,G.loss:0.5038\n",
            "Epoch: 1/50-Batch: 1127/1875--D.loss:0.1370,G.loss:0.6731\n",
            "Epoch: 1/50-Batch: 1128/1875--D.loss:0.1542,G.loss:0.3132\n",
            "Epoch: 1/50-Batch: 1129/1875--D.loss:0.1517,G.loss:0.9134\n",
            "Epoch: 1/50-Batch: 1130/1875--D.loss:0.1764,G.loss:0.2780\n",
            "Epoch: 1/50-Batch: 1131/1875--D.loss:0.1283,G.loss:0.8459\n",
            "Epoch: 1/50-Batch: 1132/1875--D.loss:0.1143,G.loss:0.5757\n",
            "Epoch: 1/50-Batch: 1133/1875--D.loss:0.1054,G.loss:0.4172\n",
            "Epoch: 1/50-Batch: 1134/1875--D.loss:0.1020,G.loss:0.7121\n",
            "Epoch: 1/50-Batch: 1135/1875--D.loss:0.1340,G.loss:0.6472\n",
            "Epoch: 1/50-Batch: 1136/1875--D.loss:0.1414,G.loss:0.3991\n",
            "Epoch: 1/50-Batch: 1137/1875--D.loss:0.1196,G.loss:0.7901\n",
            "Epoch: 1/50-Batch: 1138/1875--D.loss:0.1106,G.loss:0.4031\n",
            "Epoch: 1/50-Batch: 1139/1875--D.loss:0.1207,G.loss:0.6876\n",
            "Epoch: 1/50-Batch: 1140/1875--D.loss:0.1148,G.loss:0.4235\n",
            "Epoch: 1/50-Batch: 1141/1875--D.loss:0.1123,G.loss:0.5880\n",
            "Epoch: 1/50-Batch: 1142/1875--D.loss:0.1296,G.loss:0.5990\n",
            "Epoch: 1/50-Batch: 1143/1875--D.loss:0.0679,G.loss:0.5536\n",
            "Epoch: 1/50-Batch: 1144/1875--D.loss:0.0972,G.loss:0.6604\n",
            "Epoch: 1/50-Batch: 1145/1875--D.loss:0.1056,G.loss:0.6460\n",
            "Epoch: 1/50-Batch: 1146/1875--D.loss:0.0864,G.loss:0.5613\n",
            "Epoch: 1/50-Batch: 1147/1875--D.loss:0.1987,G.loss:1.0860\n",
            "Epoch: 1/50-Batch: 1148/1875--D.loss:0.4626,G.loss:0.0348\n",
            "Epoch: 1/50-Batch: 1149/1875--D.loss:0.4044,G.loss:1.5041\n",
            "Epoch: 1/50-Batch: 1150/1875--D.loss:0.2047,G.loss:0.2753\n",
            "Epoch: 1/50-Batch: 1151/1875--D.loss:0.1372,G.loss:0.4216\n",
            "Epoch: 1/50-Batch: 1152/1875--D.loss:0.1552,G.loss:0.6800\n",
            "Epoch: 1/50-Batch: 1153/1875--D.loss:0.1443,G.loss:0.5213\n",
            "Epoch: 1/50-Batch: 1154/1875--D.loss:0.1166,G.loss:0.4433\n",
            "Epoch: 1/50-Batch: 1155/1875--D.loss:0.0951,G.loss:0.5604\n",
            "Epoch: 1/50-Batch: 1156/1875--D.loss:0.1234,G.loss:0.6748\n",
            "Epoch: 1/50-Batch: 1157/1875--D.loss:0.1005,G.loss:0.5778\n",
            "Epoch: 1/50-Batch: 1158/1875--D.loss:0.1127,G.loss:0.4569\n",
            "Epoch: 1/50-Batch: 1159/1875--D.loss:0.1041,G.loss:0.6290\n",
            "Epoch: 1/50-Batch: 1160/1875--D.loss:0.1307,G.loss:0.6657\n",
            "Epoch: 1/50-Batch: 1161/1875--D.loss:0.0990,G.loss:0.5360\n",
            "Epoch: 1/50-Batch: 1162/1875--D.loss:0.1231,G.loss:0.5583\n",
            "Epoch: 1/50-Batch: 1163/1875--D.loss:0.1090,G.loss:0.5652\n",
            "Epoch: 1/50-Batch: 1164/1875--D.loss:0.1081,G.loss:0.5394\n",
            "Epoch: 1/50-Batch: 1165/1875--D.loss:0.1138,G.loss:0.5844\n",
            "Epoch: 1/50-Batch: 1166/1875--D.loss:0.0884,G.loss:0.7078\n",
            "Epoch: 1/50-Batch: 1167/1875--D.loss:0.1215,G.loss:0.6363\n",
            "Epoch: 1/50-Batch: 1168/1875--D.loss:0.0649,G.loss:0.6677\n",
            "Epoch: 1/50-Batch: 1169/1875--D.loss:0.1084,G.loss:0.5406\n",
            "Epoch: 1/50-Batch: 1170/1875--D.loss:0.1146,G.loss:0.6225\n",
            "Epoch: 1/50-Batch: 1171/1875--D.loss:0.0855,G.loss:0.6228\n",
            "Epoch: 1/50-Batch: 1172/1875--D.loss:0.1142,G.loss:0.5399\n",
            "Epoch: 1/50-Batch: 1173/1875--D.loss:0.1612,G.loss:0.3666\n",
            "Epoch: 1/50-Batch: 1174/1875--D.loss:0.1619,G.loss:0.7210\n",
            "Epoch: 1/50-Batch: 1175/1875--D.loss:0.1682,G.loss:0.3539\n",
            "Epoch: 1/50-Batch: 1176/1875--D.loss:0.1448,G.loss:0.9777\n",
            "Epoch: 1/50-Batch: 1177/1875--D.loss:0.1036,G.loss:0.4638\n",
            "Epoch: 1/50-Batch: 1178/1875--D.loss:0.1270,G.loss:0.7510\n",
            "Epoch: 1/50-Batch: 1179/1875--D.loss:0.1942,G.loss:0.3360\n",
            "Epoch: 1/50-Batch: 1180/1875--D.loss:0.1161,G.loss:0.7268\n",
            "Epoch: 1/50-Batch: 1181/1875--D.loss:0.1448,G.loss:0.7834\n",
            "Epoch: 1/50-Batch: 1182/1875--D.loss:0.1197,G.loss:0.3691\n",
            "Epoch: 1/50-Batch: 1183/1875--D.loss:0.1351,G.loss:0.4633\n",
            "Epoch: 1/50-Batch: 1184/1875--D.loss:0.1228,G.loss:0.8900\n",
            "Epoch: 1/50-Batch: 1185/1875--D.loss:0.1325,G.loss:0.3972\n",
            "Epoch: 1/50-Batch: 1186/1875--D.loss:0.1305,G.loss:0.5991\n",
            "Epoch: 1/50-Batch: 1187/1875--D.loss:0.1157,G.loss:0.6278\n",
            "Epoch: 1/50-Batch: 1188/1875--D.loss:0.0964,G.loss:0.7096\n",
            "Epoch: 1/50-Batch: 1189/1875--D.loss:0.1033,G.loss:0.5814\n",
            "Epoch: 1/50-Batch: 1190/1875--D.loss:0.1162,G.loss:0.6110\n",
            "Epoch: 1/50-Batch: 1191/1875--D.loss:0.1317,G.loss:0.6368\n",
            "Epoch: 1/50-Batch: 1192/1875--D.loss:0.1152,G.loss:0.5366\n",
            "Epoch: 1/50-Batch: 1193/1875--D.loss:0.1438,G.loss:0.4620\n",
            "Epoch: 1/50-Batch: 1194/1875--D.loss:0.1179,G.loss:0.6896\n",
            "Epoch: 1/50-Batch: 1195/1875--D.loss:0.1176,G.loss:0.5742\n",
            "Epoch: 1/50-Batch: 1196/1875--D.loss:0.1481,G.loss:0.9390\n",
            "Epoch: 1/50-Batch: 1197/1875--D.loss:0.1755,G.loss:0.3170\n",
            "Epoch: 1/50-Batch: 1198/1875--D.loss:0.1673,G.loss:1.0414\n",
            "Epoch: 1/50-Batch: 1199/1875--D.loss:0.1216,G.loss:0.4229\n",
            "Epoch: 1/50-Batch: 1200/1875--D.loss:0.0979,G.loss:0.5951\n",
            "Epoch: 1/50-Batch: 1201/1875--D.loss:0.1363,G.loss:0.8001\n",
            "Epoch: 1/50-Batch: 1202/1875--D.loss:0.0958,G.loss:0.4453\n",
            "Epoch: 1/50-Batch: 1203/1875--D.loss:0.0994,G.loss:0.6074\n",
            "Epoch: 1/50-Batch: 1204/1875--D.loss:0.1055,G.loss:0.5021\n",
            "Epoch: 1/50-Batch: 1205/1875--D.loss:0.0927,G.loss:0.7430\n",
            "Epoch: 1/50-Batch: 1206/1875--D.loss:0.1276,G.loss:0.5324\n",
            "Epoch: 1/50-Batch: 1207/1875--D.loss:0.1330,G.loss:0.6995\n",
            "Epoch: 1/50-Batch: 1208/1875--D.loss:0.1136,G.loss:0.5778\n",
            "Epoch: 1/50-Batch: 1209/1875--D.loss:0.1370,G.loss:0.4368\n",
            "Epoch: 1/50-Batch: 1210/1875--D.loss:0.1261,G.loss:0.6550\n",
            "Epoch: 1/50-Batch: 1211/1875--D.loss:0.1349,G.loss:0.5754\n",
            "Epoch: 1/50-Batch: 1212/1875--D.loss:0.1107,G.loss:0.8183\n",
            "Epoch: 1/50-Batch: 1213/1875--D.loss:0.1162,G.loss:0.5886\n",
            "Epoch: 1/50-Batch: 1214/1875--D.loss:0.1402,G.loss:0.7521\n",
            "Epoch: 1/50-Batch: 1215/1875--D.loss:0.1479,G.loss:0.3616\n",
            "Epoch: 1/50-Batch: 1216/1875--D.loss:0.1486,G.loss:0.9927\n",
            "Epoch: 1/50-Batch: 1217/1875--D.loss:0.1314,G.loss:0.3375\n",
            "Epoch: 1/50-Batch: 1218/1875--D.loss:0.1473,G.loss:0.8062\n",
            "Epoch: 1/50-Batch: 1219/1875--D.loss:0.1269,G.loss:0.4655\n",
            "Epoch: 1/50-Batch: 1220/1875--D.loss:0.1248,G.loss:0.5779\n",
            "Epoch: 1/50-Batch: 1221/1875--D.loss:0.1452,G.loss:0.5253\n",
            "Epoch: 1/50-Batch: 1222/1875--D.loss:0.1675,G.loss:0.7650\n",
            "Epoch: 1/50-Batch: 1223/1875--D.loss:0.1633,G.loss:0.3515\n",
            "Epoch: 1/50-Batch: 1224/1875--D.loss:0.2002,G.loss:1.0946\n",
            "Epoch: 1/50-Batch: 1225/1875--D.loss:0.1199,G.loss:0.3127\n",
            "Epoch: 1/50-Batch: 1226/1875--D.loss:0.1131,G.loss:0.5766\n",
            "Epoch: 1/50-Batch: 1227/1875--D.loss:0.1132,G.loss:0.9266\n",
            "Epoch: 1/50-Batch: 1228/1875--D.loss:0.1037,G.loss:0.4637\n",
            "Epoch: 1/50-Batch: 1229/1875--D.loss:0.1209,G.loss:0.6651\n",
            "Epoch: 1/50-Batch: 1230/1875--D.loss:0.0920,G.loss:0.7226\n",
            "Epoch: 1/50-Batch: 1231/1875--D.loss:0.1122,G.loss:0.6454\n",
            "Epoch: 1/50-Batch: 1232/1875--D.loss:0.0879,G.loss:0.5198\n",
            "Epoch: 1/50-Batch: 1233/1875--D.loss:0.0960,G.loss:0.6645\n",
            "Epoch: 1/50-Batch: 1234/1875--D.loss:0.1115,G.loss:0.8339\n",
            "Epoch: 1/50-Batch: 1235/1875--D.loss:0.1338,G.loss:0.4658\n",
            "Epoch: 1/50-Batch: 1236/1875--D.loss:0.1068,G.loss:0.6690\n",
            "Epoch: 1/50-Batch: 1237/1875--D.loss:0.0974,G.loss:0.7141\n",
            "Epoch: 1/50-Batch: 1238/1875--D.loss:0.0859,G.loss:0.5422\n",
            "Epoch: 1/50-Batch: 1239/1875--D.loss:0.1034,G.loss:0.6209\n",
            "Epoch: 1/50-Batch: 1240/1875--D.loss:0.1343,G.loss:0.7084\n",
            "Epoch: 1/50-Batch: 1241/1875--D.loss:0.1471,G.loss:0.4317\n",
            "Epoch: 1/50-Batch: 1242/1875--D.loss:0.1060,G.loss:0.8628\n",
            "Epoch: 1/50-Batch: 1243/1875--D.loss:0.1081,G.loss:0.5308\n",
            "Epoch: 1/50-Batch: 1244/1875--D.loss:0.1275,G.loss:0.6419\n",
            "Epoch: 1/50-Batch: 1245/1875--D.loss:0.0980,G.loss:0.5546\n",
            "Epoch: 1/50-Batch: 1246/1875--D.loss:0.1281,G.loss:0.8837\n",
            "Epoch: 1/50-Batch: 1247/1875--D.loss:0.1752,G.loss:0.3634\n",
            "Epoch: 1/50-Batch: 1248/1875--D.loss:0.1632,G.loss:1.1271\n",
            "Epoch: 1/50-Batch: 1249/1875--D.loss:0.1146,G.loss:0.4990\n",
            "Epoch: 1/50-Batch: 1250/1875--D.loss:0.1523,G.loss:0.3859\n",
            "Epoch: 1/50-Batch: 1251/1875--D.loss:0.1560,G.loss:0.7158\n",
            "Epoch: 1/50-Batch: 1252/1875--D.loss:0.1292,G.loss:0.4700\n",
            "Epoch: 1/50-Batch: 1253/1875--D.loss:0.1049,G.loss:0.6704\n",
            "Epoch: 1/50-Batch: 1254/1875--D.loss:0.1039,G.loss:0.6392\n",
            "Epoch: 1/50-Batch: 1255/1875--D.loss:0.1372,G.loss:0.5597\n",
            "Epoch: 1/50-Batch: 1256/1875--D.loss:0.1000,G.loss:0.6283\n",
            "Epoch: 1/50-Batch: 1257/1875--D.loss:0.1063,G.loss:0.6450\n",
            "Epoch: 1/50-Batch: 1258/1875--D.loss:0.1199,G.loss:0.3895\n",
            "Epoch: 1/50-Batch: 1259/1875--D.loss:0.1307,G.loss:0.8850\n",
            "Epoch: 1/50-Batch: 1260/1875--D.loss:0.1416,G.loss:0.4262\n",
            "Epoch: 1/50-Batch: 1261/1875--D.loss:0.1318,G.loss:0.6007\n",
            "Epoch: 1/50-Batch: 1262/1875--D.loss:0.1425,G.loss:1.0354\n",
            "Epoch: 1/50-Batch: 1263/1875--D.loss:0.1718,G.loss:0.2611\n",
            "Epoch: 1/50-Batch: 1264/1875--D.loss:0.1680,G.loss:0.4481\n",
            "Epoch: 1/50-Batch: 1265/1875--D.loss:0.1305,G.loss:0.6362\n",
            "Epoch: 1/50-Batch: 1266/1875--D.loss:0.1690,G.loss:0.4240\n",
            "Epoch: 1/50-Batch: 1267/1875--D.loss:0.1090,G.loss:0.5526\n",
            "Epoch: 1/50-Batch: 1268/1875--D.loss:0.1326,G.loss:0.5745\n",
            "Epoch: 1/50-Batch: 1269/1875--D.loss:0.1347,G.loss:0.6230\n",
            "Epoch: 1/50-Batch: 1270/1875--D.loss:0.1220,G.loss:0.4629\n",
            "Epoch: 1/50-Batch: 1271/1875--D.loss:0.1295,G.loss:0.6393\n",
            "Epoch: 1/50-Batch: 1272/1875--D.loss:0.1126,G.loss:0.7046\n",
            "Epoch: 1/50-Batch: 1273/1875--D.loss:0.1319,G.loss:0.4431\n",
            "Epoch: 1/50-Batch: 1274/1875--D.loss:0.1652,G.loss:0.8526\n",
            "Epoch: 1/50-Batch: 1275/1875--D.loss:0.1938,G.loss:0.2806\n",
            "Epoch: 1/50-Batch: 1276/1875--D.loss:0.1385,G.loss:1.1513\n",
            "Epoch: 1/50-Batch: 1277/1875--D.loss:0.1176,G.loss:0.6851\n",
            "Epoch: 1/50-Batch: 1278/1875--D.loss:0.1371,G.loss:0.4060\n",
            "Epoch: 1/50-Batch: 1279/1875--D.loss:0.1282,G.loss:0.5434\n",
            "Epoch: 1/50-Batch: 1280/1875--D.loss:0.1294,G.loss:0.5822\n",
            "Epoch: 1/50-Batch: 1281/1875--D.loss:0.1648,G.loss:0.5652\n",
            "Epoch: 1/50-Batch: 1282/1875--D.loss:0.1278,G.loss:0.4833\n",
            "Epoch: 1/50-Batch: 1283/1875--D.loss:0.1336,G.loss:0.6815\n",
            "Epoch: 1/50-Batch: 1284/1875--D.loss:0.1137,G.loss:0.4464\n",
            "Epoch: 1/50-Batch: 1285/1875--D.loss:0.1064,G.loss:0.5730\n",
            "Epoch: 1/50-Batch: 1286/1875--D.loss:0.1345,G.loss:0.5518\n",
            "Epoch: 1/50-Batch: 1287/1875--D.loss:0.1451,G.loss:0.4311\n",
            "Epoch: 1/50-Batch: 1288/1875--D.loss:0.1339,G.loss:0.7131\n",
            "Epoch: 1/50-Batch: 1289/1875--D.loss:0.1446,G.loss:0.3725\n",
            "Epoch: 1/50-Batch: 1290/1875--D.loss:0.2043,G.loss:0.8799\n",
            "Epoch: 1/50-Batch: 1291/1875--D.loss:0.2861,G.loss:0.1516\n",
            "Epoch: 1/50-Batch: 1292/1875--D.loss:0.1752,G.loss:1.1729\n",
            "Epoch: 1/50-Batch: 1293/1875--D.loss:0.0797,G.loss:0.5973\n",
            "Epoch: 1/50-Batch: 1294/1875--D.loss:0.1453,G.loss:0.3686\n",
            "Epoch: 1/50-Batch: 1295/1875--D.loss:0.1469,G.loss:0.5948\n",
            "Epoch: 1/50-Batch: 1296/1875--D.loss:0.0923,G.loss:0.5844\n",
            "Epoch: 1/50-Batch: 1297/1875--D.loss:0.1108,G.loss:0.5606\n",
            "Epoch: 1/50-Batch: 1298/1875--D.loss:0.1312,G.loss:0.7373\n",
            "Epoch: 1/50-Batch: 1299/1875--D.loss:0.1255,G.loss:0.4689\n",
            "Epoch: 1/50-Batch: 1300/1875--D.loss:0.1278,G.loss:0.5882\n",
            "Epoch: 1/50-Batch: 1301/1875--D.loss:0.1125,G.loss:0.5971\n",
            "Epoch: 1/50-Batch: 1302/1875--D.loss:0.0965,G.loss:0.7211\n",
            "Epoch: 1/50-Batch: 1303/1875--D.loss:0.1177,G.loss:0.4431\n",
            "Epoch: 1/50-Batch: 1304/1875--D.loss:0.0973,G.loss:0.8032\n",
            "Epoch: 1/50-Batch: 1305/1875--D.loss:0.1308,G.loss:0.6789\n",
            "Epoch: 1/50-Batch: 1306/1875--D.loss:0.1197,G.loss:0.4264\n",
            "Epoch: 1/50-Batch: 1307/1875--D.loss:0.1203,G.loss:0.7136\n",
            "Epoch: 1/50-Batch: 1308/1875--D.loss:0.1172,G.loss:0.5191\n",
            "Epoch: 1/50-Batch: 1309/1875--D.loss:0.1256,G.loss:0.4876\n",
            "Epoch: 1/50-Batch: 1310/1875--D.loss:0.0908,G.loss:0.7564\n",
            "Epoch: 1/50-Batch: 1311/1875--D.loss:0.1264,G.loss:0.5914\n",
            "Epoch: 1/50-Batch: 1312/1875--D.loss:0.1401,G.loss:0.3339\n",
            "Epoch: 1/50-Batch: 1313/1875--D.loss:0.2454,G.loss:1.2155\n",
            "Epoch: 1/50-Batch: 1314/1875--D.loss:0.3287,G.loss:0.0858\n",
            "Epoch: 1/50-Batch: 1315/1875--D.loss:0.1970,G.loss:0.9961\n",
            "Epoch: 1/50-Batch: 1316/1875--D.loss:0.1238,G.loss:0.5084\n",
            "Epoch: 1/50-Batch: 1317/1875--D.loss:0.1256,G.loss:0.4083\n",
            "Epoch: 1/50-Batch: 1318/1875--D.loss:0.1125,G.loss:0.5328\n",
            "Epoch: 1/50-Batch: 1319/1875--D.loss:0.1061,G.loss:0.6049\n",
            "Epoch: 1/50-Batch: 1320/1875--D.loss:0.1308,G.loss:0.4789\n",
            "Epoch: 1/50-Batch: 1321/1875--D.loss:0.1068,G.loss:0.5934\n",
            "Epoch: 1/50-Batch: 1322/1875--D.loss:0.1249,G.loss:0.6267\n",
            "Epoch: 1/50-Batch: 1323/1875--D.loss:0.1052,G.loss:0.5547\n",
            "Epoch: 1/50-Batch: 1324/1875--D.loss:0.0924,G.loss:0.5829\n",
            "Epoch: 1/50-Batch: 1325/1875--D.loss:0.1064,G.loss:0.6203\n",
            "Epoch: 1/50-Batch: 1326/1875--D.loss:0.1051,G.loss:0.5688\n",
            "Epoch: 1/50-Batch: 1327/1875--D.loss:0.1064,G.loss:0.5915\n",
            "Epoch: 1/50-Batch: 1328/1875--D.loss:0.0992,G.loss:0.6040\n",
            "Epoch: 1/50-Batch: 1329/1875--D.loss:0.1024,G.loss:0.4875\n",
            "Epoch: 1/50-Batch: 1330/1875--D.loss:0.0999,G.loss:0.7302\n",
            "Epoch: 1/50-Batch: 1331/1875--D.loss:0.0892,G.loss:0.6016\n",
            "Epoch: 1/50-Batch: 1332/1875--D.loss:0.1004,G.loss:0.6240\n",
            "Epoch: 1/50-Batch: 1333/1875--D.loss:0.1151,G.loss:0.7197\n",
            "Epoch: 1/50-Batch: 1334/1875--D.loss:0.1730,G.loss:0.3532\n",
            "Epoch: 1/50-Batch: 1335/1875--D.loss:0.1939,G.loss:1.1151\n",
            "Epoch: 1/50-Batch: 1336/1875--D.loss:0.1797,G.loss:0.2624\n",
            "Epoch: 1/50-Batch: 1337/1875--D.loss:0.1485,G.loss:0.7230\n",
            "Epoch: 1/50-Batch: 1338/1875--D.loss:0.1637,G.loss:0.4657\n",
            "Epoch: 1/50-Batch: 1339/1875--D.loss:0.1031,G.loss:0.6661\n",
            "Epoch: 1/50-Batch: 1340/1875--D.loss:0.0960,G.loss:0.6922\n",
            "Epoch: 1/50-Batch: 1341/1875--D.loss:0.1268,G.loss:0.5314\n",
            "Epoch: 1/50-Batch: 1342/1875--D.loss:0.0797,G.loss:0.6923\n",
            "Epoch: 1/50-Batch: 1343/1875--D.loss:0.0975,G.loss:0.7484\n",
            "Epoch: 1/50-Batch: 1344/1875--D.loss:0.1009,G.loss:0.5814\n",
            "Epoch: 1/50-Batch: 1345/1875--D.loss:0.1424,G.loss:0.7447\n",
            "Epoch: 1/50-Batch: 1346/1875--D.loss:0.1331,G.loss:0.3168\n",
            "Epoch: 1/50-Batch: 1347/1875--D.loss:0.1320,G.loss:0.8469\n",
            "Epoch: 1/50-Batch: 1348/1875--D.loss:0.1585,G.loss:0.3892\n",
            "Epoch: 1/50-Batch: 1349/1875--D.loss:0.1103,G.loss:0.6704\n",
            "Epoch: 1/50-Batch: 1350/1875--D.loss:0.1235,G.loss:0.7608\n",
            "Epoch: 1/50-Batch: 1351/1875--D.loss:0.0838,G.loss:0.5543\n",
            "Epoch: 1/50-Batch: 1352/1875--D.loss:0.0971,G.loss:0.7244\n",
            "Epoch: 1/50-Batch: 1353/1875--D.loss:0.1022,G.loss:0.5269\n",
            "Epoch: 1/50-Batch: 1354/1875--D.loss:0.0765,G.loss:0.8229\n",
            "Epoch: 1/50-Batch: 1355/1875--D.loss:0.0878,G.loss:0.6703\n",
            "Epoch: 1/50-Batch: 1356/1875--D.loss:0.1458,G.loss:0.6798\n",
            "Epoch: 1/50-Batch: 1357/1875--D.loss:0.0983,G.loss:0.7405\n",
            "Epoch: 1/50-Batch: 1358/1875--D.loss:0.1598,G.loss:0.3646\n",
            "Epoch: 1/50-Batch: 1359/1875--D.loss:0.1628,G.loss:1.1618\n",
            "Epoch: 1/50-Batch: 1360/1875--D.loss:0.1764,G.loss:0.3486\n",
            "Epoch: 1/50-Batch: 1361/1875--D.loss:0.1417,G.loss:0.9133\n",
            "Epoch: 1/50-Batch: 1362/1875--D.loss:0.1090,G.loss:0.5181\n",
            "Epoch: 1/50-Batch: 1363/1875--D.loss:0.1181,G.loss:0.4339\n",
            "Epoch: 1/50-Batch: 1364/1875--D.loss:0.0583,G.loss:0.7843\n",
            "Epoch: 1/50-Batch: 1365/1875--D.loss:0.1253,G.loss:0.6052\n",
            "Epoch: 1/50-Batch: 1366/1875--D.loss:0.1021,G.loss:0.5579\n",
            "Epoch: 1/50-Batch: 1367/1875--D.loss:0.0986,G.loss:0.8410\n",
            "Epoch: 1/50-Batch: 1368/1875--D.loss:0.1202,G.loss:0.6106\n",
            "Epoch: 1/50-Batch: 1369/1875--D.loss:0.1271,G.loss:0.6899\n",
            "Epoch: 1/50-Batch: 1370/1875--D.loss:0.0836,G.loss:0.5384\n",
            "Epoch: 1/50-Batch: 1371/1875--D.loss:0.1104,G.loss:0.6596\n",
            "Epoch: 1/50-Batch: 1372/1875--D.loss:0.0827,G.loss:0.6007\n",
            "Epoch: 1/50-Batch: 1373/1875--D.loss:0.1082,G.loss:0.4795\n",
            "Epoch: 1/50-Batch: 1374/1875--D.loss:0.1492,G.loss:0.9646\n",
            "Epoch: 1/50-Batch: 1375/1875--D.loss:0.1141,G.loss:0.3997\n",
            "Epoch: 1/50-Batch: 1376/1875--D.loss:0.0911,G.loss:0.6956\n",
            "Epoch: 1/50-Batch: 1377/1875--D.loss:0.0757,G.loss:0.8013\n",
            "Epoch: 1/50-Batch: 1378/1875--D.loss:0.1409,G.loss:0.6399\n",
            "Epoch: 1/50-Batch: 1379/1875--D.loss:0.1731,G.loss:0.3036\n",
            "Epoch: 1/50-Batch: 1380/1875--D.loss:0.1355,G.loss:1.1972\n",
            "Epoch: 1/50-Batch: 1381/1875--D.loss:0.1438,G.loss:0.4799\n",
            "Epoch: 1/50-Batch: 1382/1875--D.loss:0.1057,G.loss:0.4774\n",
            "Epoch: 1/50-Batch: 1383/1875--D.loss:0.1294,G.loss:0.7659\n",
            "Epoch: 1/50-Batch: 1384/1875--D.loss:0.0985,G.loss:0.7230\n",
            "Epoch: 1/50-Batch: 1385/1875--D.loss:0.1243,G.loss:0.4337\n",
            "Epoch: 1/50-Batch: 1386/1875--D.loss:0.1025,G.loss:0.8361\n",
            "Epoch: 1/50-Batch: 1387/1875--D.loss:0.1021,G.loss:0.5899\n",
            "Epoch: 1/50-Batch: 1388/1875--D.loss:0.1212,G.loss:0.5783\n",
            "Epoch: 1/50-Batch: 1389/1875--D.loss:0.1186,G.loss:0.4922\n",
            "Epoch: 1/50-Batch: 1390/1875--D.loss:0.0998,G.loss:0.7899\n",
            "Epoch: 1/50-Batch: 1391/1875--D.loss:0.1369,G.loss:0.7813\n",
            "Epoch: 1/50-Batch: 1392/1875--D.loss:0.1320,G.loss:0.4331\n",
            "Epoch: 1/50-Batch: 1393/1875--D.loss:0.0957,G.loss:0.6585\n",
            "Epoch: 1/50-Batch: 1394/1875--D.loss:0.1010,G.loss:0.6205\n",
            "Epoch: 1/50-Batch: 1395/1875--D.loss:0.0985,G.loss:0.5797\n",
            "Epoch: 1/50-Batch: 1396/1875--D.loss:0.1052,G.loss:0.6173\n",
            "Epoch: 1/50-Batch: 1397/1875--D.loss:0.1021,G.loss:0.8752\n",
            "Epoch: 1/50-Batch: 1398/1875--D.loss:0.1507,G.loss:0.3144\n",
            "Epoch: 1/50-Batch: 1399/1875--D.loss:0.2477,G.loss:1.3958\n",
            "Epoch: 1/50-Batch: 1400/1875--D.loss:0.3165,G.loss:0.1017\n",
            "Epoch: 1/50-Batch: 1401/1875--D.loss:0.1205,G.loss:0.7467\n",
            "Epoch: 1/50-Batch: 1402/1875--D.loss:0.0971,G.loss:0.8474\n",
            "Epoch: 1/50-Batch: 1403/1875--D.loss:0.1451,G.loss:0.4513\n",
            "Epoch: 1/50-Batch: 1404/1875--D.loss:0.0897,G.loss:0.5129\n",
            "Epoch: 1/50-Batch: 1405/1875--D.loss:0.1334,G.loss:0.6921\n",
            "Epoch: 1/50-Batch: 1406/1875--D.loss:0.1385,G.loss:0.5624\n",
            "Epoch: 1/50-Batch: 1407/1875--D.loss:0.1324,G.loss:0.5203\n",
            "Epoch: 1/50-Batch: 1408/1875--D.loss:0.1055,G.loss:0.4660\n",
            "Epoch: 1/50-Batch: 1409/1875--D.loss:0.1196,G.loss:0.5215\n",
            "Epoch: 1/50-Batch: 1410/1875--D.loss:0.1077,G.loss:0.6447\n",
            "Epoch: 1/50-Batch: 1411/1875--D.loss:0.1059,G.loss:0.6015\n",
            "Epoch: 1/50-Batch: 1412/1875--D.loss:0.1123,G.loss:0.6297\n",
            "Epoch: 1/50-Batch: 1413/1875--D.loss:0.1069,G.loss:0.7109\n",
            "Epoch: 1/50-Batch: 1414/1875--D.loss:0.1173,G.loss:0.4934\n",
            "Epoch: 1/50-Batch: 1415/1875--D.loss:0.1422,G.loss:0.6465\n",
            "Epoch: 1/50-Batch: 1416/1875--D.loss:0.1335,G.loss:0.3935\n",
            "Epoch: 1/50-Batch: 1417/1875--D.loss:0.1147,G.loss:0.8091\n",
            "Epoch: 1/50-Batch: 1418/1875--D.loss:0.0916,G.loss:0.4919\n",
            "Epoch: 1/50-Batch: 1419/1875--D.loss:0.0675,G.loss:0.7027\n",
            "Epoch: 1/50-Batch: 1420/1875--D.loss:0.1118,G.loss:0.9238\n",
            "Epoch: 1/50-Batch: 1421/1875--D.loss:0.1020,G.loss:0.5370\n",
            "Epoch: 1/50-Batch: 1422/1875--D.loss:0.1112,G.loss:0.8967\n",
            "Epoch: 1/50-Batch: 1423/1875--D.loss:0.1364,G.loss:0.5179\n",
            "Epoch: 1/50-Batch: 1424/1875--D.loss:0.1214,G.loss:0.8114\n",
            "Epoch: 1/50-Batch: 1425/1875--D.loss:0.1577,G.loss:0.3520\n",
            "Epoch: 1/50-Batch: 1426/1875--D.loss:0.1675,G.loss:1.0564\n",
            "Epoch: 1/50-Batch: 1427/1875--D.loss:0.1494,G.loss:0.2800\n",
            "Epoch: 1/50-Batch: 1428/1875--D.loss:0.1103,G.loss:0.6676\n",
            "Epoch: 1/50-Batch: 1429/1875--D.loss:0.1118,G.loss:0.7224\n",
            "Epoch: 1/50-Batch: 1430/1875--D.loss:0.1576,G.loss:0.3465\n",
            "Epoch: 1/50-Batch: 1431/1875--D.loss:0.1139,G.loss:0.8533\n",
            "Epoch: 1/50-Batch: 1432/1875--D.loss:0.1075,G.loss:0.8391\n",
            "Epoch: 1/50-Batch: 1433/1875--D.loss:0.1348,G.loss:0.3604\n",
            "Epoch: 1/50-Batch: 1434/1875--D.loss:0.1189,G.loss:0.7922\n",
            "Epoch: 1/50-Batch: 1435/1875--D.loss:0.1224,G.loss:0.7219\n",
            "Epoch: 1/50-Batch: 1436/1875--D.loss:0.1363,G.loss:0.4133\n",
            "Epoch: 1/50-Batch: 1437/1875--D.loss:0.0940,G.loss:0.8606\n",
            "Epoch: 1/50-Batch: 1438/1875--D.loss:0.1276,G.loss:0.5611\n",
            "Epoch: 1/50-Batch: 1439/1875--D.loss:0.1116,G.loss:0.7192\n",
            "Epoch: 1/50-Batch: 1440/1875--D.loss:0.0913,G.loss:0.6402\n",
            "Epoch: 1/50-Batch: 1441/1875--D.loss:0.0869,G.loss:0.6384\n",
            "Epoch: 1/50-Batch: 1442/1875--D.loss:0.1660,G.loss:1.0476\n",
            "Epoch: 1/50-Batch: 1443/1875--D.loss:0.1378,G.loss:0.3728\n",
            "Epoch: 1/50-Batch: 1444/1875--D.loss:0.0986,G.loss:0.8525\n",
            "Epoch: 1/50-Batch: 1445/1875--D.loss:0.1343,G.loss:0.6967\n",
            "Epoch: 1/50-Batch: 1446/1875--D.loss:0.1331,G.loss:0.3301\n",
            "Epoch: 1/50-Batch: 1447/1875--D.loss:0.1643,G.loss:1.2616\n",
            "Epoch: 1/50-Batch: 1448/1875--D.loss:0.1539,G.loss:0.3148\n",
            "Epoch: 1/50-Batch: 1449/1875--D.loss:0.1342,G.loss:0.5910\n",
            "Epoch: 1/50-Batch: 1450/1875--D.loss:0.1182,G.loss:0.6364\n",
            "Epoch: 1/50-Batch: 1451/1875--D.loss:0.1237,G.loss:0.3938\n",
            "Epoch: 1/50-Batch: 1452/1875--D.loss:0.0883,G.loss:0.7493\n",
            "Epoch: 1/50-Batch: 1453/1875--D.loss:0.0969,G.loss:0.6869\n",
            "Epoch: 1/50-Batch: 1454/1875--D.loss:0.1192,G.loss:0.5432\n",
            "Epoch: 1/50-Batch: 1455/1875--D.loss:0.0810,G.loss:0.5515\n",
            "Epoch: 1/50-Batch: 1456/1875--D.loss:0.0809,G.loss:0.8304\n",
            "Epoch: 1/50-Batch: 1457/1875--D.loss:0.0942,G.loss:0.5765\n",
            "Epoch: 1/50-Batch: 1458/1875--D.loss:0.1208,G.loss:0.7234\n",
            "Epoch: 1/50-Batch: 1459/1875--D.loss:0.1174,G.loss:0.4916\n",
            "Epoch: 1/50-Batch: 1460/1875--D.loss:0.2317,G.loss:1.1653\n",
            "Epoch: 1/50-Batch: 1461/1875--D.loss:0.2951,G.loss:0.1170\n",
            "Epoch: 1/50-Batch: 1462/1875--D.loss:0.1544,G.loss:0.9410\n",
            "Epoch: 1/50-Batch: 1463/1875--D.loss:0.1221,G.loss:0.6190\n",
            "Epoch: 1/50-Batch: 1464/1875--D.loss:0.1101,G.loss:0.5400\n",
            "Epoch: 1/50-Batch: 1465/1875--D.loss:0.1068,G.loss:0.4724\n",
            "Epoch: 1/50-Batch: 1466/1875--D.loss:0.0992,G.loss:0.6614\n",
            "Epoch: 1/50-Batch: 1467/1875--D.loss:0.1007,G.loss:0.7347\n",
            "Epoch: 1/50-Batch: 1468/1875--D.loss:0.1141,G.loss:0.4561\n",
            "Epoch: 1/50-Batch: 1469/1875--D.loss:0.1153,G.loss:0.6364\n",
            "Epoch: 1/50-Batch: 1470/1875--D.loss:0.1098,G.loss:0.6411\n",
            "Epoch: 1/50-Batch: 1471/1875--D.loss:0.1285,G.loss:0.4544\n",
            "Epoch: 1/50-Batch: 1472/1875--D.loss:0.1278,G.loss:0.4607\n",
            "Epoch: 1/50-Batch: 1473/1875--D.loss:0.1048,G.loss:0.6464\n",
            "Epoch: 1/50-Batch: 1474/1875--D.loss:0.1321,G.loss:0.6450\n",
            "Epoch: 1/50-Batch: 1475/1875--D.loss:0.1255,G.loss:0.4407\n",
            "Epoch: 1/50-Batch: 1476/1875--D.loss:0.1172,G.loss:0.6380\n",
            "Epoch: 1/50-Batch: 1477/1875--D.loss:0.1223,G.loss:0.6671\n",
            "Epoch: 1/50-Batch: 1478/1875--D.loss:0.0934,G.loss:0.4962\n",
            "Epoch: 1/50-Batch: 1479/1875--D.loss:0.1060,G.loss:0.6095\n",
            "Epoch: 1/50-Batch: 1480/1875--D.loss:0.0884,G.loss:0.7248\n",
            "Epoch: 1/50-Batch: 1481/1875--D.loss:0.1222,G.loss:0.6057\n",
            "Epoch: 1/50-Batch: 1482/1875--D.loss:0.1120,G.loss:0.8020\n",
            "Epoch: 1/50-Batch: 1483/1875--D.loss:0.1069,G.loss:0.4795\n",
            "Epoch: 1/50-Batch: 1484/1875--D.loss:0.1130,G.loss:0.5660\n",
            "Epoch: 1/50-Batch: 1485/1875--D.loss:0.1126,G.loss:0.6579\n",
            "Epoch: 1/50-Batch: 1486/1875--D.loss:0.1105,G.loss:0.7242\n",
            "Epoch: 1/50-Batch: 1487/1875--D.loss:0.1424,G.loss:0.5414\n",
            "Epoch: 1/50-Batch: 1488/1875--D.loss:0.1035,G.loss:0.4047\n",
            "Epoch: 1/50-Batch: 1489/1875--D.loss:0.1373,G.loss:1.0019\n",
            "Epoch: 1/50-Batch: 1490/1875--D.loss:0.1620,G.loss:0.2891\n",
            "Epoch: 1/50-Batch: 1491/1875--D.loss:0.1438,G.loss:0.9841\n",
            "Epoch: 1/50-Batch: 1492/1875--D.loss:0.1447,G.loss:0.4006\n",
            "Epoch: 1/50-Batch: 1493/1875--D.loss:0.1342,G.loss:0.4349\n",
            "Epoch: 1/50-Batch: 1494/1875--D.loss:0.0847,G.loss:0.8654\n",
            "Epoch: 1/50-Batch: 1495/1875--D.loss:0.1137,G.loss:0.8310\n",
            "Epoch: 1/50-Batch: 1496/1875--D.loss:0.1409,G.loss:0.3602\n",
            "Epoch: 1/50-Batch: 1497/1875--D.loss:0.0991,G.loss:0.7258\n",
            "Epoch: 1/50-Batch: 1498/1875--D.loss:0.0853,G.loss:0.6816\n",
            "Epoch: 1/50-Batch: 1499/1875--D.loss:0.0754,G.loss:0.6071\n",
            "Epoch: 1/50-Batch: 1500/1875--D.loss:0.1075,G.loss:0.6794\n",
            "Epoch: 1/50-Batch: 1501/1875--D.loss:0.0891,G.loss:0.6589\n",
            "Epoch: 1/50-Batch: 1502/1875--D.loss:0.1051,G.loss:0.9175\n",
            "Epoch: 1/50-Batch: 1503/1875--D.loss:0.1254,G.loss:0.4586\n",
            "Epoch: 1/50-Batch: 1504/1875--D.loss:0.1637,G.loss:0.7563\n",
            "Epoch: 1/50-Batch: 1505/1875--D.loss:0.1202,G.loss:0.4805\n",
            "Epoch: 1/50-Batch: 1506/1875--D.loss:0.1353,G.loss:0.3746\n",
            "Epoch: 1/50-Batch: 1507/1875--D.loss:0.2027,G.loss:0.9733\n",
            "Epoch: 1/50-Batch: 1508/1875--D.loss:0.1867,G.loss:0.3802\n",
            "Epoch: 1/50-Batch: 1509/1875--D.loss:0.1136,G.loss:0.7246\n",
            "Epoch: 1/50-Batch: 1510/1875--D.loss:0.1463,G.loss:0.7504\n",
            "Epoch: 1/50-Batch: 1511/1875--D.loss:0.1337,G.loss:0.3329\n",
            "Epoch: 1/50-Batch: 1512/1875--D.loss:0.1208,G.loss:0.6509\n",
            "Epoch: 1/50-Batch: 1513/1875--D.loss:0.1299,G.loss:0.7222\n",
            "Epoch: 1/50-Batch: 1514/1875--D.loss:0.1235,G.loss:0.4244\n",
            "Epoch: 1/50-Batch: 1515/1875--D.loss:0.1352,G.loss:0.7222\n",
            "Epoch: 1/50-Batch: 1516/1875--D.loss:0.1290,G.loss:0.6254\n",
            "Epoch: 1/50-Batch: 1517/1875--D.loss:0.1221,G.loss:0.3365\n",
            "Epoch: 1/50-Batch: 1518/1875--D.loss:0.1296,G.loss:0.9647\n",
            "Epoch: 1/50-Batch: 1519/1875--D.loss:0.1041,G.loss:0.5224\n",
            "Epoch: 1/50-Batch: 1520/1875--D.loss:0.1449,G.loss:0.6058\n",
            "Epoch: 1/50-Batch: 1521/1875--D.loss:0.1178,G.loss:0.6304\n",
            "Epoch: 1/50-Batch: 1522/1875--D.loss:0.1041,G.loss:0.5583\n",
            "Epoch: 1/50-Batch: 1523/1875--D.loss:0.1171,G.loss:0.5138\n",
            "Epoch: 1/50-Batch: 1524/1875--D.loss:0.1153,G.loss:0.6193\n",
            "Epoch: 1/50-Batch: 1525/1875--D.loss:0.0929,G.loss:0.6760\n",
            "Epoch: 1/50-Batch: 1526/1875--D.loss:0.1135,G.loss:0.5816\n",
            "Epoch: 1/50-Batch: 1527/1875--D.loss:0.1339,G.loss:0.5925\n",
            "Epoch: 1/50-Batch: 1528/1875--D.loss:0.0898,G.loss:0.4651\n",
            "Epoch: 1/50-Batch: 1529/1875--D.loss:0.1478,G.loss:0.7610\n",
            "Epoch: 1/50-Batch: 1530/1875--D.loss:0.1720,G.loss:0.3064\n",
            "Epoch: 1/50-Batch: 1531/1875--D.loss:0.1225,G.loss:0.7863\n",
            "Epoch: 1/50-Batch: 1532/1875--D.loss:0.1039,G.loss:0.7012\n",
            "Epoch: 1/50-Batch: 1533/1875--D.loss:0.1040,G.loss:0.4272\n",
            "Epoch: 1/50-Batch: 1534/1875--D.loss:0.1324,G.loss:0.6970\n",
            "Epoch: 1/50-Batch: 1535/1875--D.loss:0.1014,G.loss:0.6179\n",
            "Epoch: 1/50-Batch: 1536/1875--D.loss:0.0992,G.loss:0.6150\n",
            "Epoch: 1/50-Batch: 1537/1875--D.loss:0.1177,G.loss:0.6404\n",
            "Epoch: 1/50-Batch: 1538/1875--D.loss:0.1093,G.loss:0.6464\n",
            "Epoch: 1/50-Batch: 1539/1875--D.loss:0.1330,G.loss:0.5808\n",
            "Epoch: 1/50-Batch: 1540/1875--D.loss:0.1531,G.loss:0.3447\n",
            "Epoch: 1/50-Batch: 1541/1875--D.loss:0.1295,G.loss:0.8119\n",
            "Epoch: 1/50-Batch: 1542/1875--D.loss:0.0917,G.loss:0.5183\n",
            "Epoch: 1/50-Batch: 1543/1875--D.loss:0.0904,G.loss:0.7126\n",
            "Epoch: 1/50-Batch: 1544/1875--D.loss:0.1265,G.loss:0.4990\n",
            "Epoch: 1/50-Batch: 1545/1875--D.loss:0.1034,G.loss:0.6398\n",
            "Epoch: 1/50-Batch: 1546/1875--D.loss:0.1309,G.loss:0.5574\n",
            "Epoch: 1/50-Batch: 1547/1875--D.loss:0.1117,G.loss:0.6749\n",
            "Epoch: 1/50-Batch: 1548/1875--D.loss:0.1209,G.loss:0.4454\n",
            "Epoch: 1/50-Batch: 1549/1875--D.loss:0.1281,G.loss:0.7777\n",
            "Epoch: 1/50-Batch: 1550/1875--D.loss:0.1227,G.loss:0.4736\n",
            "Epoch: 1/50-Batch: 1551/1875--D.loss:0.1052,G.loss:0.8149\n",
            "Epoch: 1/50-Batch: 1552/1875--D.loss:0.1437,G.loss:0.5353\n",
            "Epoch: 1/50-Batch: 1553/1875--D.loss:0.0943,G.loss:0.5971\n",
            "Epoch: 1/50-Batch: 1554/1875--D.loss:0.0985,G.loss:0.9122\n",
            "Epoch: 1/50-Batch: 1555/1875--D.loss:0.1195,G.loss:0.4474\n",
            "Epoch: 1/50-Batch: 1556/1875--D.loss:0.1354,G.loss:0.8160\n",
            "Epoch: 1/50-Batch: 1557/1875--D.loss:0.1955,G.loss:0.2363\n",
            "Epoch: 1/50-Batch: 1558/1875--D.loss:0.1622,G.loss:0.9279\n",
            "Epoch: 1/50-Batch: 1559/1875--D.loss:0.1151,G.loss:0.4109\n",
            "Epoch: 1/50-Batch: 1560/1875--D.loss:0.1109,G.loss:0.7649\n",
            "Epoch: 1/50-Batch: 1561/1875--D.loss:0.1168,G.loss:0.6142\n",
            "Epoch: 1/50-Batch: 1562/1875--D.loss:0.1043,G.loss:0.6002\n",
            "Epoch: 1/50-Batch: 1563/1875--D.loss:0.0773,G.loss:0.6348\n",
            "Epoch: 1/50-Batch: 1564/1875--D.loss:0.1069,G.loss:0.6486\n",
            "Epoch: 1/50-Batch: 1565/1875--D.loss:0.1044,G.loss:0.4638\n",
            "Epoch: 1/50-Batch: 1566/1875--D.loss:0.1315,G.loss:0.7813\n",
            "Epoch: 1/50-Batch: 1567/1875--D.loss:0.1150,G.loss:0.5338\n",
            "Epoch: 1/50-Batch: 1568/1875--D.loss:0.1099,G.loss:0.5883\n",
            "Epoch: 1/50-Batch: 1569/1875--D.loss:0.1287,G.loss:0.8570\n",
            "Epoch: 1/50-Batch: 1570/1875--D.loss:0.1502,G.loss:0.2607\n",
            "Epoch: 1/50-Batch: 1571/1875--D.loss:0.1537,G.loss:1.1968\n",
            "Epoch: 1/50-Batch: 1572/1875--D.loss:0.1412,G.loss:0.3892\n",
            "Epoch: 1/50-Batch: 1573/1875--D.loss:0.1235,G.loss:0.6490\n",
            "Epoch: 1/50-Batch: 1574/1875--D.loss:0.0809,G.loss:0.5190\n",
            "Epoch: 1/50-Batch: 1575/1875--D.loss:0.1131,G.loss:0.6746\n",
            "Epoch: 1/50-Batch: 1576/1875--D.loss:0.1269,G.loss:0.5269\n",
            "Epoch: 1/50-Batch: 1577/1875--D.loss:0.0924,G.loss:0.6880\n",
            "Epoch: 1/50-Batch: 1578/1875--D.loss:0.1002,G.loss:0.5698\n",
            "Epoch: 1/50-Batch: 1579/1875--D.loss:0.1312,G.loss:0.8785\n",
            "Epoch: 1/50-Batch: 1580/1875--D.loss:0.1463,G.loss:0.4242\n",
            "Epoch: 1/50-Batch: 1581/1875--D.loss:0.0955,G.loss:0.5298\n",
            "Epoch: 1/50-Batch: 1582/1875--D.loss:0.0987,G.loss:0.8307\n",
            "Epoch: 1/50-Batch: 1583/1875--D.loss:0.1161,G.loss:0.6454\n",
            "Epoch: 1/50-Batch: 1584/1875--D.loss:0.0795,G.loss:0.6962\n",
            "Epoch: 1/50-Batch: 1585/1875--D.loss:0.0799,G.loss:0.6734\n",
            "Epoch: 1/50-Batch: 1586/1875--D.loss:0.1271,G.loss:0.7361\n",
            "Epoch: 1/50-Batch: 1587/1875--D.loss:0.1161,G.loss:0.3806\n",
            "Epoch: 1/50-Batch: 1588/1875--D.loss:0.1348,G.loss:0.9339\n",
            "Epoch: 1/50-Batch: 1589/1875--D.loss:0.1854,G.loss:0.2539\n",
            "Epoch: 1/50-Batch: 1590/1875--D.loss:0.1403,G.loss:1.1097\n",
            "Epoch: 1/50-Batch: 1591/1875--D.loss:0.1431,G.loss:0.3581\n",
            "Epoch: 1/50-Batch: 1592/1875--D.loss:0.1174,G.loss:0.5433\n",
            "Epoch: 1/50-Batch: 1593/1875--D.loss:0.0785,G.loss:0.7991\n",
            "Epoch: 1/50-Batch: 1594/1875--D.loss:0.1233,G.loss:0.5919\n",
            "Epoch: 1/50-Batch: 1595/1875--D.loss:0.1101,G.loss:0.5360\n",
            "Epoch: 1/50-Batch: 1596/1875--D.loss:0.1367,G.loss:0.7144\n",
            "Epoch: 1/50-Batch: 1597/1875--D.loss:0.1406,G.loss:0.4006\n",
            "Epoch: 1/50-Batch: 1598/1875--D.loss:0.2332,G.loss:0.9723\n",
            "Epoch: 1/50-Batch: 1599/1875--D.loss:0.1685,G.loss:0.2999\n",
            "Epoch: 1/50-Batch: 1600/1875--D.loss:0.1283,G.loss:0.6041\n",
            "Epoch: 1/50-Batch: 1601/1875--D.loss:0.1107,G.loss:0.5816\n",
            "Epoch: 1/50-Batch: 1602/1875--D.loss:0.1196,G.loss:0.5823\n",
            "Epoch: 1/50-Batch: 1603/1875--D.loss:0.1249,G.loss:0.5742\n",
            "Epoch: 1/50-Batch: 1604/1875--D.loss:0.1525,G.loss:0.7612\n",
            "Epoch: 1/50-Batch: 1605/1875--D.loss:0.1179,G.loss:0.3797\n",
            "Epoch: 1/50-Batch: 1606/1875--D.loss:0.1423,G.loss:0.6540\n",
            "Epoch: 1/50-Batch: 1607/1875--D.loss:0.0990,G.loss:0.5555\n",
            "Epoch: 1/50-Batch: 1608/1875--D.loss:0.1122,G.loss:0.6362\n",
            "Epoch: 1/50-Batch: 1609/1875--D.loss:0.1081,G.loss:0.6015\n",
            "Epoch: 1/50-Batch: 1610/1875--D.loss:0.1230,G.loss:0.7199\n",
            "Epoch: 1/50-Batch: 1611/1875--D.loss:0.1344,G.loss:0.4420\n",
            "Epoch: 1/50-Batch: 1612/1875--D.loss:0.1143,G.loss:0.9683\n",
            "Epoch: 1/50-Batch: 1613/1875--D.loss:0.1449,G.loss:0.3172\n",
            "Epoch: 1/50-Batch: 1614/1875--D.loss:0.1220,G.loss:0.8095\n",
            "Epoch: 1/50-Batch: 1615/1875--D.loss:0.1064,G.loss:0.5187\n",
            "Epoch: 1/50-Batch: 1616/1875--D.loss:0.1342,G.loss:0.5545\n",
            "Epoch: 1/50-Batch: 1617/1875--D.loss:0.1299,G.loss:0.4708\n",
            "Epoch: 1/50-Batch: 1618/1875--D.loss:0.1116,G.loss:0.5132\n",
            "Epoch: 1/50-Batch: 1619/1875--D.loss:0.1062,G.loss:0.7276\n",
            "Epoch: 1/50-Batch: 1620/1875--D.loss:0.1157,G.loss:0.4443\n",
            "Epoch: 1/50-Batch: 1621/1875--D.loss:0.1294,G.loss:0.5434\n",
            "Epoch: 1/50-Batch: 1622/1875--D.loss:0.1241,G.loss:0.5161\n",
            "Epoch: 1/50-Batch: 1623/1875--D.loss:0.1437,G.loss:0.8630\n",
            "Epoch: 1/50-Batch: 1624/1875--D.loss:0.1866,G.loss:0.3625\n",
            "Epoch: 1/50-Batch: 1625/1875--D.loss:0.2905,G.loss:1.2940\n",
            "Epoch: 1/50-Batch: 1626/1875--D.loss:0.3574,G.loss:0.0560\n",
            "Epoch: 1/50-Batch: 1627/1875--D.loss:0.1110,G.loss:0.6231\n",
            "Epoch: 1/50-Batch: 1628/1875--D.loss:0.1815,G.loss:0.9521\n",
            "Epoch: 1/50-Batch: 1629/1875--D.loss:0.1305,G.loss:0.3893\n",
            "Epoch: 1/50-Batch: 1630/1875--D.loss:0.1626,G.loss:0.3499\n",
            "Epoch: 1/50-Batch: 1631/1875--D.loss:0.1563,G.loss:0.5325\n",
            "Epoch: 1/50-Batch: 1632/1875--D.loss:0.1131,G.loss:0.6034\n",
            "Epoch: 1/50-Batch: 1633/1875--D.loss:0.0857,G.loss:0.6246\n",
            "Epoch: 1/50-Batch: 1634/1875--D.loss:0.1085,G.loss:0.6167\n",
            "Epoch: 1/50-Batch: 1635/1875--D.loss:0.0941,G.loss:0.4965\n",
            "Epoch: 1/50-Batch: 1636/1875--D.loss:0.1115,G.loss:0.6213\n",
            "Epoch: 1/50-Batch: 1637/1875--D.loss:0.0876,G.loss:0.5070\n",
            "Epoch: 1/50-Batch: 1638/1875--D.loss:0.0912,G.loss:0.7481\n",
            "Epoch: 1/50-Batch: 1639/1875--D.loss:0.1107,G.loss:0.6739\n",
            "Epoch: 1/50-Batch: 1640/1875--D.loss:0.1010,G.loss:0.4801\n",
            "Epoch: 1/50-Batch: 1641/1875--D.loss:0.1137,G.loss:0.8676\n",
            "Epoch: 1/50-Batch: 1642/1875--D.loss:0.1169,G.loss:0.5081\n",
            "Epoch: 1/50-Batch: 1643/1875--D.loss:0.1087,G.loss:0.5804\n",
            "Epoch: 1/50-Batch: 1644/1875--D.loss:0.1406,G.loss:0.6530\n",
            "Epoch: 1/50-Batch: 1645/1875--D.loss:0.1616,G.loss:0.3569\n",
            "Epoch: 1/50-Batch: 1646/1875--D.loss:0.1000,G.loss:0.6700\n",
            "Epoch: 1/50-Batch: 1647/1875--D.loss:0.1543,G.loss:0.6902\n",
            "Epoch: 1/50-Batch: 1648/1875--D.loss:0.1483,G.loss:0.4168\n",
            "Epoch: 1/50-Batch: 1649/1875--D.loss:0.1429,G.loss:0.7063\n",
            "Epoch: 1/50-Batch: 1650/1875--D.loss:0.1244,G.loss:0.6035\n",
            "Epoch: 1/50-Batch: 1651/1875--D.loss:0.1242,G.loss:0.4133\n",
            "Epoch: 1/50-Batch: 1652/1875--D.loss:0.1947,G.loss:0.9231\n",
            "Epoch: 1/50-Batch: 1653/1875--D.loss:0.1478,G.loss:0.3537\n",
            "Epoch: 1/50-Batch: 1654/1875--D.loss:0.1672,G.loss:0.4614\n",
            "Epoch: 1/50-Batch: 1655/1875--D.loss:0.1384,G.loss:0.7386\n",
            "Epoch: 1/50-Batch: 1656/1875--D.loss:0.1180,G.loss:0.4181\n",
            "Epoch: 1/50-Batch: 1657/1875--D.loss:0.0925,G.loss:0.6272\n",
            "Epoch: 1/50-Batch: 1658/1875--D.loss:0.1441,G.loss:0.6994\n",
            "Epoch: 1/50-Batch: 1659/1875--D.loss:0.1377,G.loss:0.4192\n",
            "Epoch: 1/50-Batch: 1660/1875--D.loss:0.1135,G.loss:0.7033\n",
            "Epoch: 1/50-Batch: 1661/1875--D.loss:0.1173,G.loss:0.5556\n",
            "Epoch: 1/50-Batch: 1662/1875--D.loss:0.1600,G.loss:0.5050\n",
            "Epoch: 1/50-Batch: 1663/1875--D.loss:0.1445,G.loss:0.2953\n",
            "Epoch: 1/50-Batch: 1664/1875--D.loss:0.1540,G.loss:1.0098\n",
            "Epoch: 1/50-Batch: 1665/1875--D.loss:0.1289,G.loss:0.4573\n",
            "Epoch: 1/50-Batch: 1666/1875--D.loss:0.1708,G.loss:0.4074\n",
            "Epoch: 1/50-Batch: 1667/1875--D.loss:0.1312,G.loss:0.6459\n",
            "Epoch: 1/50-Batch: 1668/1875--D.loss:0.1483,G.loss:0.5881\n",
            "Epoch: 1/50-Batch: 1669/1875--D.loss:0.1249,G.loss:0.4083\n",
            "Epoch: 1/50-Batch: 1670/1875--D.loss:0.1362,G.loss:0.7439\n",
            "Epoch: 1/50-Batch: 1671/1875--D.loss:0.1344,G.loss:0.5175\n",
            "Epoch: 1/50-Batch: 1672/1875--D.loss:0.1257,G.loss:0.6171\n",
            "Epoch: 1/50-Batch: 1673/1875--D.loss:0.1245,G.loss:0.6351\n",
            "Epoch: 1/50-Batch: 1674/1875--D.loss:0.1397,G.loss:0.5062\n",
            "Epoch: 1/50-Batch: 1675/1875--D.loss:0.1588,G.loss:0.6898\n",
            "Epoch: 1/50-Batch: 1676/1875--D.loss:0.1586,G.loss:0.2950\n",
            "Epoch: 1/50-Batch: 1677/1875--D.loss:0.1621,G.loss:0.7667\n",
            "Epoch: 1/50-Batch: 1678/1875--D.loss:0.1445,G.loss:0.4244\n",
            "Epoch: 1/50-Batch: 1679/1875--D.loss:0.1578,G.loss:0.8443\n",
            "Epoch: 1/50-Batch: 1680/1875--D.loss:0.1377,G.loss:0.2489\n",
            "Epoch: 1/50-Batch: 1681/1875--D.loss:0.1179,G.loss:0.9212\n",
            "Epoch: 1/50-Batch: 1682/1875--D.loss:0.1051,G.loss:0.5053\n",
            "Epoch: 1/50-Batch: 1683/1875--D.loss:0.1416,G.loss:0.4938\n",
            "Epoch: 1/50-Batch: 1684/1875--D.loss:0.1053,G.loss:0.6595\n",
            "Epoch: 1/50-Batch: 1685/1875--D.loss:0.1152,G.loss:0.5559\n",
            "Epoch: 1/50-Batch: 1686/1875--D.loss:0.1533,G.loss:0.6640\n",
            "Epoch: 1/50-Batch: 1687/1875--D.loss:0.1938,G.loss:0.3531\n",
            "Epoch: 1/50-Batch: 1688/1875--D.loss:0.1394,G.loss:0.8920\n",
            "Epoch: 1/50-Batch: 1689/1875--D.loss:0.1439,G.loss:0.3915\n",
            "Epoch: 1/50-Batch: 1690/1875--D.loss:0.1620,G.loss:0.8959\n",
            "Epoch: 1/50-Batch: 1691/1875--D.loss:0.1777,G.loss:0.2886\n",
            "Epoch: 1/50-Batch: 1692/1875--D.loss:0.1156,G.loss:0.6014\n",
            "Epoch: 1/50-Batch: 1693/1875--D.loss:0.1119,G.loss:0.6731\n",
            "Epoch: 1/50-Batch: 1694/1875--D.loss:0.1326,G.loss:0.4075\n",
            "Epoch: 1/50-Batch: 1695/1875--D.loss:0.1405,G.loss:0.6971\n",
            "Epoch: 1/50-Batch: 1696/1875--D.loss:0.1368,G.loss:0.5335\n",
            "Epoch: 1/50-Batch: 1697/1875--D.loss:0.1210,G.loss:0.4969\n",
            "Epoch: 1/50-Batch: 1698/1875--D.loss:0.1443,G.loss:0.8715\n",
            "Epoch: 1/50-Batch: 1699/1875--D.loss:0.1393,G.loss:0.3436\n",
            "Epoch: 1/50-Batch: 1700/1875--D.loss:0.1405,G.loss:0.8536\n",
            "Epoch: 1/50-Batch: 1701/1875--D.loss:0.1666,G.loss:0.3640\n",
            "Epoch: 1/50-Batch: 1702/1875--D.loss:0.1335,G.loss:0.6480\n",
            "Epoch: 1/50-Batch: 1703/1875--D.loss:0.1227,G.loss:0.5298\n",
            "Epoch: 1/50-Batch: 1704/1875--D.loss:0.1173,G.loss:0.5704\n",
            "Epoch: 1/50-Batch: 1705/1875--D.loss:0.1374,G.loss:0.7328\n",
            "Epoch: 1/50-Batch: 1706/1875--D.loss:0.1427,G.loss:0.3952\n",
            "Epoch: 1/50-Batch: 1707/1875--D.loss:0.1205,G.loss:0.6712\n",
            "Epoch: 1/50-Batch: 1708/1875--D.loss:0.0984,G.loss:0.6322\n",
            "Epoch: 1/50-Batch: 1709/1875--D.loss:0.0987,G.loss:0.4796\n",
            "Epoch: 1/50-Batch: 1710/1875--D.loss:0.1443,G.loss:0.7455\n",
            "Epoch: 1/50-Batch: 1711/1875--D.loss:0.1803,G.loss:0.3006\n",
            "Epoch: 1/50-Batch: 1712/1875--D.loss:0.1449,G.loss:0.8342\n",
            "Epoch: 1/50-Batch: 1713/1875--D.loss:0.0995,G.loss:0.6495\n",
            "Epoch: 1/50-Batch: 1714/1875--D.loss:0.1169,G.loss:0.4259\n",
            "Epoch: 1/50-Batch: 1715/1875--D.loss:0.1100,G.loss:0.8191\n",
            "Epoch: 1/50-Batch: 1716/1875--D.loss:0.1284,G.loss:0.5086\n",
            "Epoch: 1/50-Batch: 1717/1875--D.loss:0.1045,G.loss:0.6217\n",
            "Epoch: 1/50-Batch: 1718/1875--D.loss:0.1171,G.loss:0.5203\n",
            "Epoch: 1/50-Batch: 1719/1875--D.loss:0.1156,G.loss:0.5698\n",
            "Epoch: 1/50-Batch: 1720/1875--D.loss:0.1336,G.loss:0.5409\n",
            "Epoch: 1/50-Batch: 1721/1875--D.loss:0.1243,G.loss:0.4230\n",
            "Epoch: 1/50-Batch: 1722/1875--D.loss:0.1711,G.loss:0.9032\n",
            "Epoch: 1/50-Batch: 1723/1875--D.loss:0.1591,G.loss:0.3940\n",
            "Epoch: 1/50-Batch: 1724/1875--D.loss:0.1313,G.loss:0.7190\n",
            "Epoch: 1/50-Batch: 1725/1875--D.loss:0.1970,G.loss:0.2254\n",
            "Epoch: 1/50-Batch: 1726/1875--D.loss:0.1573,G.loss:1.2142\n",
            "Epoch: 1/50-Batch: 1727/1875--D.loss:0.1490,G.loss:0.3852\n",
            "Epoch: 1/50-Batch: 1728/1875--D.loss:0.1535,G.loss:0.4004\n",
            "Epoch: 1/50-Batch: 1729/1875--D.loss:0.1750,G.loss:0.7707\n",
            "Epoch: 1/50-Batch: 1730/1875--D.loss:0.1245,G.loss:0.4008\n",
            "Epoch: 1/50-Batch: 1731/1875--D.loss:0.1343,G.loss:0.4865\n",
            "Epoch: 1/50-Batch: 1732/1875--D.loss:0.1022,G.loss:0.6661\n",
            "Epoch: 1/50-Batch: 1733/1875--D.loss:0.1185,G.loss:0.6609\n",
            "Epoch: 1/50-Batch: 1734/1875--D.loss:0.1468,G.loss:0.4776\n",
            "Epoch: 1/50-Batch: 1735/1875--D.loss:0.1716,G.loss:0.3896\n",
            "Epoch: 1/50-Batch: 1736/1875--D.loss:0.2351,G.loss:1.0611\n",
            "Epoch: 1/50-Batch: 1737/1875--D.loss:0.1688,G.loss:0.3226\n",
            "Epoch: 1/50-Batch: 1738/1875--D.loss:0.1131,G.loss:0.6157\n",
            "Epoch: 1/50-Batch: 1739/1875--D.loss:0.1178,G.loss:0.6261\n",
            "Epoch: 1/50-Batch: 1740/1875--D.loss:0.1185,G.loss:0.5717\n",
            "Epoch: 1/50-Batch: 1741/1875--D.loss:0.1303,G.loss:0.9180\n",
            "Epoch: 1/50-Batch: 1742/1875--D.loss:0.1391,G.loss:0.3693\n",
            "Epoch: 1/50-Batch: 1743/1875--D.loss:0.1106,G.loss:0.5455\n",
            "Epoch: 1/50-Batch: 1744/1875--D.loss:0.1358,G.loss:0.6382\n",
            "Epoch: 1/50-Batch: 1745/1875--D.loss:0.1244,G.loss:0.5098\n",
            "Epoch: 1/50-Batch: 1746/1875--D.loss:0.1297,G.loss:0.5378\n",
            "Epoch: 1/50-Batch: 1747/1875--D.loss:0.1538,G.loss:0.9544\n",
            "Epoch: 1/50-Batch: 1748/1875--D.loss:0.1604,G.loss:0.3241\n",
            "Epoch: 1/50-Batch: 1749/1875--D.loss:0.1399,G.loss:0.8277\n",
            "Epoch: 1/50-Batch: 1750/1875--D.loss:0.1489,G.loss:0.3405\n",
            "Epoch: 1/50-Batch: 1751/1875--D.loss:0.1191,G.loss:0.4600\n",
            "Epoch: 1/50-Batch: 1752/1875--D.loss:0.1384,G.loss:0.6932\n",
            "Epoch: 1/50-Batch: 1753/1875--D.loss:0.1139,G.loss:0.4956\n",
            "Epoch: 1/50-Batch: 1754/1875--D.loss:0.1326,G.loss:0.4934\n",
            "Epoch: 1/50-Batch: 1755/1875--D.loss:0.1629,G.loss:0.7719\n",
            "Epoch: 1/50-Batch: 1756/1875--D.loss:0.1813,G.loss:0.2238\n",
            "Epoch: 1/50-Batch: 1757/1875--D.loss:0.1078,G.loss:0.8343\n",
            "Epoch: 1/50-Batch: 1758/1875--D.loss:0.1532,G.loss:0.6507\n",
            "Epoch: 1/50-Batch: 1759/1875--D.loss:0.1353,G.loss:0.4948\n",
            "Epoch: 1/50-Batch: 1760/1875--D.loss:0.1212,G.loss:0.5893\n",
            "Epoch: 1/50-Batch: 1761/1875--D.loss:0.1582,G.loss:0.6455\n",
            "Epoch: 1/50-Batch: 1762/1875--D.loss:0.1497,G.loss:0.4311\n",
            "Epoch: 1/50-Batch: 1763/1875--D.loss:0.1321,G.loss:0.6557\n",
            "Epoch: 1/50-Batch: 1764/1875--D.loss:0.1149,G.loss:0.3588\n",
            "Epoch: 1/50-Batch: 1765/1875--D.loss:0.1184,G.loss:0.5454\n",
            "Epoch: 1/50-Batch: 1766/1875--D.loss:0.1936,G.loss:0.8700\n",
            "Epoch: 1/50-Batch: 1767/1875--D.loss:0.2320,G.loss:0.1871\n",
            "Epoch: 1/50-Batch: 1768/1875--D.loss:0.1755,G.loss:0.7545\n",
            "Epoch: 1/50-Batch: 1769/1875--D.loss:0.1580,G.loss:0.6773\n",
            "Epoch: 1/50-Batch: 1770/1875--D.loss:0.2189,G.loss:0.1719\n",
            "Epoch: 1/50-Batch: 1771/1875--D.loss:0.1314,G.loss:0.6150\n",
            "Epoch: 1/50-Batch: 1772/1875--D.loss:0.1179,G.loss:0.6803\n",
            "Epoch: 1/50-Batch: 1773/1875--D.loss:0.1268,G.loss:0.4732\n",
            "Epoch: 1/50-Batch: 1774/1875--D.loss:0.1073,G.loss:0.5088\n",
            "Epoch: 1/50-Batch: 1775/1875--D.loss:0.1496,G.loss:0.6248\n",
            "Epoch: 1/50-Batch: 1776/1875--D.loss:0.1051,G.loss:0.5074\n",
            "Epoch: 1/50-Batch: 1777/1875--D.loss:0.1166,G.loss:0.7154\n",
            "Epoch: 1/50-Batch: 1778/1875--D.loss:0.1371,G.loss:0.4456\n",
            "Epoch: 1/50-Batch: 1779/1875--D.loss:0.1619,G.loss:0.5913\n",
            "Epoch: 1/50-Batch: 1780/1875--D.loss:0.1709,G.loss:0.3684\n",
            "Epoch: 1/50-Batch: 1781/1875--D.loss:0.1591,G.loss:0.8119\n",
            "Epoch: 1/50-Batch: 1782/1875--D.loss:0.1102,G.loss:0.3828\n",
            "Epoch: 1/50-Batch: 1783/1875--D.loss:0.1259,G.loss:0.4765\n",
            "Epoch: 1/50-Batch: 1784/1875--D.loss:0.1877,G.loss:1.0644\n",
            "Epoch: 1/50-Batch: 1785/1875--D.loss:0.1415,G.loss:0.3695\n",
            "Epoch: 1/50-Batch: 1786/1875--D.loss:0.1403,G.loss:0.4509\n",
            "Epoch: 1/50-Batch: 1787/1875--D.loss:0.1388,G.loss:0.9025\n",
            "Epoch: 1/50-Batch: 1788/1875--D.loss:0.1153,G.loss:0.5005\n",
            "Epoch: 1/50-Batch: 1789/1875--D.loss:0.1247,G.loss:0.4827\n",
            "Epoch: 1/50-Batch: 1790/1875--D.loss:0.1300,G.loss:0.9328\n",
            "Epoch: 1/50-Batch: 1791/1875--D.loss:0.1085,G.loss:0.4502\n",
            "Epoch: 1/50-Batch: 1792/1875--D.loss:0.1255,G.loss:0.4793\n",
            "Epoch: 1/50-Batch: 1793/1875--D.loss:0.1286,G.loss:0.7088\n",
            "Epoch: 1/50-Batch: 1794/1875--D.loss:0.0895,G.loss:0.5393\n",
            "Epoch: 1/50-Batch: 1795/1875--D.loss:0.1124,G.loss:0.7103\n",
            "Epoch: 1/50-Batch: 1796/1875--D.loss:0.0976,G.loss:0.5191\n",
            "Epoch: 1/50-Batch: 1797/1875--D.loss:0.0795,G.loss:0.7795\n",
            "Epoch: 1/50-Batch: 1798/1875--D.loss:0.1049,G.loss:0.5459\n",
            "Epoch: 1/50-Batch: 1799/1875--D.loss:0.1100,G.loss:0.4599\n",
            "Epoch: 1/50-Batch: 1800/1875--D.loss:0.1187,G.loss:0.6966\n",
            "Epoch: 1/50-Batch: 1801/1875--D.loss:0.1256,G.loss:0.4154\n",
            "Epoch: 1/50-Batch: 1802/1875--D.loss:0.1459,G.loss:0.8469\n",
            "Epoch: 1/50-Batch: 1803/1875--D.loss:0.1214,G.loss:0.4173\n",
            "Epoch: 1/50-Batch: 1804/1875--D.loss:0.1524,G.loss:0.9487\n",
            "Epoch: 1/50-Batch: 1805/1875--D.loss:0.1850,G.loss:0.2587\n",
            "Epoch: 1/50-Batch: 1806/1875--D.loss:0.1207,G.loss:0.7080\n",
            "Epoch: 1/50-Batch: 1807/1875--D.loss:0.0999,G.loss:0.6383\n",
            "Epoch: 1/50-Batch: 1808/1875--D.loss:0.1397,G.loss:0.6536\n",
            "Epoch: 1/50-Batch: 1809/1875--D.loss:0.1392,G.loss:0.3609\n",
            "Epoch: 1/50-Batch: 1810/1875--D.loss:0.1049,G.loss:0.6394\n",
            "Epoch: 1/50-Batch: 1811/1875--D.loss:0.1052,G.loss:0.7619\n",
            "Epoch: 1/50-Batch: 1812/1875--D.loss:0.1293,G.loss:0.5460\n",
            "Epoch: 1/50-Batch: 1813/1875--D.loss:0.1364,G.loss:0.5681\n",
            "Epoch: 1/50-Batch: 1814/1875--D.loss:0.1128,G.loss:0.6210\n",
            "Epoch: 1/50-Batch: 1815/1875--D.loss:0.1205,G.loss:0.7211\n",
            "Epoch: 1/50-Batch: 1816/1875--D.loss:0.1378,G.loss:0.4255\n",
            "Epoch: 1/50-Batch: 1817/1875--D.loss:0.1562,G.loss:0.6125\n",
            "Epoch: 1/50-Batch: 1818/1875--D.loss:0.1267,G.loss:0.5575\n",
            "Epoch: 1/50-Batch: 1819/1875--D.loss:0.1260,G.loss:0.5536\n",
            "Epoch: 1/50-Batch: 1820/1875--D.loss:0.1621,G.loss:0.4444\n",
            "Epoch: 1/50-Batch: 1821/1875--D.loss:0.1409,G.loss:0.3602\n",
            "Epoch: 1/50-Batch: 1822/1875--D.loss:0.2393,G.loss:1.1159\n",
            "Epoch: 1/50-Batch: 1823/1875--D.loss:0.3301,G.loss:0.1574\n",
            "Epoch: 1/50-Batch: 1824/1875--D.loss:0.1444,G.loss:0.8028\n",
            "Epoch: 1/50-Batch: 1825/1875--D.loss:0.1681,G.loss:0.8299\n",
            "Epoch: 1/50-Batch: 1826/1875--D.loss:0.1642,G.loss:0.3674\n",
            "Epoch: 1/50-Batch: 1827/1875--D.loss:0.1546,G.loss:0.5580\n",
            "Epoch: 1/50-Batch: 1828/1875--D.loss:0.1351,G.loss:0.4800\n",
            "Epoch: 1/50-Batch: 1829/1875--D.loss:0.1202,G.loss:0.6095\n",
            "Epoch: 1/50-Batch: 1830/1875--D.loss:0.1567,G.loss:0.6030\n",
            "Epoch: 1/50-Batch: 1831/1875--D.loss:0.1429,G.loss:0.4596\n",
            "Epoch: 1/50-Batch: 1832/1875--D.loss:0.1347,G.loss:0.5758\n",
            "Epoch: 1/50-Batch: 1833/1875--D.loss:0.1281,G.loss:0.4269\n",
            "Epoch: 1/50-Batch: 1834/1875--D.loss:0.1205,G.loss:0.5767\n",
            "Epoch: 1/50-Batch: 1835/1875--D.loss:0.1479,G.loss:0.5209\n",
            "Epoch: 1/50-Batch: 1836/1875--D.loss:0.1721,G.loss:0.3977\n",
            "Epoch: 1/50-Batch: 1837/1875--D.loss:0.1289,G.loss:0.5952\n",
            "Epoch: 1/50-Batch: 1838/1875--D.loss:0.1315,G.loss:0.5506\n",
            "Epoch: 1/50-Batch: 1839/1875--D.loss:0.1360,G.loss:0.5495\n",
            "Epoch: 1/50-Batch: 1840/1875--D.loss:0.1224,G.loss:0.6108\n",
            "Epoch: 1/50-Batch: 1841/1875--D.loss:0.1498,G.loss:0.5198\n",
            "Epoch: 1/50-Batch: 1842/1875--D.loss:0.1218,G.loss:0.7971\n",
            "Epoch: 1/50-Batch: 1843/1875--D.loss:0.1508,G.loss:0.3674\n",
            "Epoch: 1/50-Batch: 1844/1875--D.loss:0.1537,G.loss:0.8729\n",
            "Epoch: 1/50-Batch: 1845/1875--D.loss:0.1330,G.loss:0.4933\n",
            "Epoch: 1/50-Batch: 1846/1875--D.loss:0.1631,G.loss:0.3908\n",
            "Epoch: 1/50-Batch: 1847/1875--D.loss:0.1708,G.loss:0.7393\n",
            "Epoch: 1/50-Batch: 1848/1875--D.loss:0.1389,G.loss:0.4963\n",
            "Epoch: 1/50-Batch: 1849/1875--D.loss:0.1607,G.loss:0.6248\n",
            "Epoch: 1/50-Batch: 1850/1875--D.loss:0.1623,G.loss:0.6241\n",
            "Epoch: 1/50-Batch: 1851/1875--D.loss:0.1507,G.loss:0.4579\n",
            "Epoch: 1/50-Batch: 1852/1875--D.loss:0.1155,G.loss:0.6096\n",
            "Epoch: 1/50-Batch: 1853/1875--D.loss:0.1450,G.loss:0.6775\n",
            "Epoch: 1/50-Batch: 1854/1875--D.loss:0.1481,G.loss:0.2792\n",
            "Epoch: 1/50-Batch: 1855/1875--D.loss:0.1134,G.loss:0.9219\n",
            "Epoch: 1/50-Batch: 1856/1875--D.loss:0.1620,G.loss:0.6159\n",
            "Epoch: 1/50-Batch: 1857/1875--D.loss:0.2167,G.loss:0.2476\n",
            "Epoch: 1/50-Batch: 1858/1875--D.loss:0.2041,G.loss:0.9506\n",
            "Epoch: 1/50-Batch: 1859/1875--D.loss:0.1484,G.loss:0.3879\n",
            "Epoch: 1/50-Batch: 1860/1875--D.loss:0.1160,G.loss:0.6040\n",
            "Epoch: 1/50-Batch: 1861/1875--D.loss:0.0977,G.loss:0.5521\n",
            "Epoch: 1/50-Batch: 1862/1875--D.loss:0.0980,G.loss:0.4719\n",
            "Epoch: 1/50-Batch: 1863/1875--D.loss:0.1241,G.loss:0.6614\n",
            "Epoch: 1/50-Batch: 1864/1875--D.loss:0.1318,G.loss:0.3733\n",
            "Epoch: 1/50-Batch: 1865/1875--D.loss:0.1135,G.loss:0.6919\n",
            "Epoch: 1/50-Batch: 1866/1875--D.loss:0.0992,G.loss:0.5596\n",
            "Epoch: 1/50-Batch: 1867/1875--D.loss:0.1572,G.loss:0.5991\n",
            "Epoch: 1/50-Batch: 1868/1875--D.loss:0.1247,G.loss:0.4793\n",
            "Epoch: 1/50-Batch: 1869/1875--D.loss:0.1632,G.loss:0.8393\n",
            "Epoch: 1/50-Batch: 1870/1875--D.loss:0.2311,G.loss:0.2118\n",
            "Epoch: 1/50-Batch: 1871/1875--D.loss:0.2325,G.loss:1.0083\n",
            "Epoch: 1/50-Batch: 1872/1875--D.loss:0.2063,G.loss:0.2259\n",
            "Epoch: 1/50-Batch: 1873/1875--D.loss:0.1344,G.loss:0.4847\n",
            "Epoch: 1/50-Batch: 1874/1875--D.loss:0.1784,G.loss:0.8226\n",
            "Epoch: 2/50-Batch: 0/1875--D.loss:0.1495,G.loss:0.3759\n",
            "Epoch: 2/50-Batch: 1/1875--D.loss:0.1285,G.loss:0.4086\n",
            "Epoch: 2/50-Batch: 2/1875--D.loss:0.1853,G.loss:0.6700\n",
            "Epoch: 2/50-Batch: 3/1875--D.loss:0.1629,G.loss:0.4196\n",
            "Epoch: 2/50-Batch: 4/1875--D.loss:0.1129,G.loss:0.4758\n",
            "Epoch: 2/50-Batch: 5/1875--D.loss:0.1249,G.loss:0.7068\n",
            "Epoch: 2/50-Batch: 6/1875--D.loss:0.1267,G.loss:0.4948\n",
            "Epoch: 2/50-Batch: 7/1875--D.loss:0.1380,G.loss:0.3902\n",
            "Epoch: 2/50-Batch: 8/1875--D.loss:0.1498,G.loss:0.7312\n",
            "Epoch: 2/50-Batch: 9/1875--D.loss:0.1269,G.loss:0.5177\n",
            "Epoch: 2/50-Batch: 10/1875--D.loss:0.1233,G.loss:0.6489\n",
            "Epoch: 2/50-Batch: 11/1875--D.loss:0.0997,G.loss:0.5177\n",
            "Epoch: 2/50-Batch: 12/1875--D.loss:0.1530,G.loss:0.4933\n",
            "Epoch: 2/50-Batch: 13/1875--D.loss:0.1346,G.loss:0.6475\n",
            "Epoch: 2/50-Batch: 14/1875--D.loss:0.1590,G.loss:0.3467\n",
            "Epoch: 2/50-Batch: 15/1875--D.loss:0.1934,G.loss:0.9960\n",
            "Epoch: 2/50-Batch: 16/1875--D.loss:0.1455,G.loss:0.4298\n",
            "Epoch: 2/50-Batch: 17/1875--D.loss:0.1339,G.loss:0.7444\n",
            "Epoch: 2/50-Batch: 18/1875--D.loss:0.1584,G.loss:0.5675\n",
            "Epoch: 2/50-Batch: 19/1875--D.loss:0.1781,G.loss:0.2812\n",
            "Epoch: 2/50-Batch: 20/1875--D.loss:0.1263,G.loss:0.7453\n",
            "Epoch: 2/50-Batch: 21/1875--D.loss:0.0940,G.loss:0.5730\n",
            "Epoch: 2/50-Batch: 22/1875--D.loss:0.1479,G.loss:0.5466\n",
            "Epoch: 2/50-Batch: 23/1875--D.loss:0.1024,G.loss:0.6885\n",
            "Epoch: 2/50-Batch: 24/1875--D.loss:0.1574,G.loss:0.4460\n",
            "Epoch: 2/50-Batch: 25/1875--D.loss:0.1260,G.loss:0.6558\n",
            "Epoch: 2/50-Batch: 26/1875--D.loss:0.1130,G.loss:0.5231\n",
            "Epoch: 2/50-Batch: 27/1875--D.loss:0.1401,G.loss:0.7513\n",
            "Epoch: 2/50-Batch: 28/1875--D.loss:0.1797,G.loss:0.3456\n",
            "Epoch: 2/50-Batch: 29/1875--D.loss:0.1373,G.loss:0.6399\n",
            "Epoch: 2/50-Batch: 30/1875--D.loss:0.1863,G.loss:0.5479\n",
            "Epoch: 2/50-Batch: 31/1875--D.loss:0.1536,G.loss:0.6739\n",
            "Epoch: 2/50-Batch: 32/1875--D.loss:0.1693,G.loss:0.4763\n",
            "Epoch: 2/50-Batch: 33/1875--D.loss:0.1698,G.loss:0.8665\n",
            "Epoch: 2/50-Batch: 34/1875--D.loss:0.2365,G.loss:0.2688\n",
            "Epoch: 2/50-Batch: 35/1875--D.loss:0.1850,G.loss:0.8038\n",
            "Epoch: 2/50-Batch: 36/1875--D.loss:0.1375,G.loss:0.6463\n",
            "Epoch: 2/50-Batch: 37/1875--D.loss:0.1392,G.loss:0.4006\n",
            "Epoch: 2/50-Batch: 38/1875--D.loss:0.1165,G.loss:0.6347\n",
            "Epoch: 2/50-Batch: 39/1875--D.loss:0.1230,G.loss:0.7557\n",
            "Epoch: 2/50-Batch: 40/1875--D.loss:0.1385,G.loss:0.4314\n",
            "Epoch: 2/50-Batch: 41/1875--D.loss:0.1691,G.loss:0.3221\n",
            "Epoch: 2/50-Batch: 42/1875--D.loss:0.1237,G.loss:0.7746\n",
            "Epoch: 2/50-Batch: 43/1875--D.loss:0.1466,G.loss:0.4802\n",
            "Epoch: 2/50-Batch: 44/1875--D.loss:0.1251,G.loss:0.6296\n",
            "Epoch: 2/50-Batch: 45/1875--D.loss:0.1417,G.loss:0.5240\n",
            "Epoch: 2/50-Batch: 46/1875--D.loss:0.1042,G.loss:0.6681\n",
            "Epoch: 2/50-Batch: 47/1875--D.loss:0.1606,G.loss:0.5841\n",
            "Epoch: 2/50-Batch: 48/1875--D.loss:0.1327,G.loss:0.5048\n",
            "Epoch: 2/50-Batch: 49/1875--D.loss:0.1283,G.loss:0.5446\n",
            "Epoch: 2/50-Batch: 50/1875--D.loss:0.1462,G.loss:0.5288\n",
            "Epoch: 2/50-Batch: 51/1875--D.loss:0.1230,G.loss:0.5214\n",
            "Epoch: 2/50-Batch: 52/1875--D.loss:0.1471,G.loss:0.4712\n",
            "Epoch: 2/50-Batch: 53/1875--D.loss:0.1241,G.loss:0.7923\n",
            "Epoch: 2/50-Batch: 54/1875--D.loss:0.1092,G.loss:0.5582\n",
            "Epoch: 2/50-Batch: 55/1875--D.loss:0.1660,G.loss:0.3562\n",
            "Epoch: 2/50-Batch: 56/1875--D.loss:0.1488,G.loss:0.7481\n",
            "Epoch: 2/50-Batch: 57/1875--D.loss:0.1388,G.loss:0.5664\n",
            "Epoch: 2/50-Batch: 58/1875--D.loss:0.1404,G.loss:0.4562\n",
            "Epoch: 2/50-Batch: 59/1875--D.loss:0.1895,G.loss:0.9458\n",
            "Epoch: 2/50-Batch: 60/1875--D.loss:0.2494,G.loss:0.1140\n",
            "Epoch: 2/50-Batch: 61/1875--D.loss:0.2099,G.loss:0.7662\n",
            "Epoch: 2/50-Batch: 62/1875--D.loss:0.1593,G.loss:0.2374\n",
            "Epoch: 2/50-Batch: 63/1875--D.loss:0.1199,G.loss:0.5640\n",
            "Epoch: 2/50-Batch: 64/1875--D.loss:0.1662,G.loss:0.6006\n",
            "Epoch: 2/50-Batch: 65/1875--D.loss:0.1674,G.loss:0.3174\n",
            "Epoch: 2/50-Batch: 66/1875--D.loss:0.1398,G.loss:0.7135\n",
            "Epoch: 2/50-Batch: 67/1875--D.loss:0.1751,G.loss:0.6062\n",
            "Epoch: 2/50-Batch: 68/1875--D.loss:0.1208,G.loss:0.4416\n",
            "Epoch: 2/50-Batch: 69/1875--D.loss:0.1145,G.loss:0.5933\n",
            "Epoch: 2/50-Batch: 70/1875--D.loss:0.1366,G.loss:0.6899\n",
            "Epoch: 2/50-Batch: 71/1875--D.loss:0.1439,G.loss:0.3675\n",
            "Epoch: 2/50-Batch: 72/1875--D.loss:0.1046,G.loss:0.5823\n",
            "Epoch: 2/50-Batch: 73/1875--D.loss:0.1367,G.loss:0.7161\n",
            "Epoch: 2/50-Batch: 74/1875--D.loss:0.1589,G.loss:0.4096\n",
            "Epoch: 2/50-Batch: 75/1875--D.loss:0.1483,G.loss:0.6880\n",
            "Epoch: 2/50-Batch: 76/1875--D.loss:0.1759,G.loss:0.2991\n",
            "Epoch: 2/50-Batch: 77/1875--D.loss:0.1440,G.loss:0.6171\n",
            "Epoch: 2/50-Batch: 78/1875--D.loss:0.1363,G.loss:0.6054\n",
            "Epoch: 2/50-Batch: 79/1875--D.loss:0.1098,G.loss:0.4860\n",
            "Epoch: 2/50-Batch: 80/1875--D.loss:0.1308,G.loss:0.6691\n",
            "Epoch: 2/50-Batch: 81/1875--D.loss:0.1290,G.loss:0.7043\n",
            "Epoch: 2/50-Batch: 82/1875--D.loss:0.1682,G.loss:0.2941\n",
            "Epoch: 2/50-Batch: 83/1875--D.loss:0.1856,G.loss:0.8821\n",
            "Epoch: 2/50-Batch: 84/1875--D.loss:0.1569,G.loss:0.3278\n",
            "Epoch: 2/50-Batch: 85/1875--D.loss:0.1104,G.loss:0.6067\n",
            "Epoch: 2/50-Batch: 86/1875--D.loss:0.1987,G.loss:0.8075\n",
            "Epoch: 2/50-Batch: 87/1875--D.loss:0.1797,G.loss:0.2508\n",
            "Epoch: 2/50-Batch: 88/1875--D.loss:0.1475,G.loss:0.6090\n",
            "Epoch: 2/50-Batch: 89/1875--D.loss:0.1620,G.loss:0.7220\n",
            "Epoch: 2/50-Batch: 90/1875--D.loss:0.1684,G.loss:0.2952\n",
            "Epoch: 2/50-Batch: 91/1875--D.loss:0.1228,G.loss:0.5646\n",
            "Epoch: 2/50-Batch: 92/1875--D.loss:0.1167,G.loss:0.6747\n",
            "Epoch: 2/50-Batch: 93/1875--D.loss:0.1391,G.loss:0.4873\n",
            "Epoch: 2/50-Batch: 94/1875--D.loss:0.1020,G.loss:0.6431\n",
            "Epoch: 2/50-Batch: 95/1875--D.loss:0.1131,G.loss:0.7220\n",
            "Epoch: 2/50-Batch: 96/1875--D.loss:0.1110,G.loss:0.6173\n",
            "Epoch: 2/50-Batch: 97/1875--D.loss:0.1368,G.loss:0.4366\n",
            "Epoch: 2/50-Batch: 98/1875--D.loss:0.1251,G.loss:0.6726\n",
            "Epoch: 2/50-Batch: 99/1875--D.loss:0.1188,G.loss:0.6027\n",
            "Epoch: 2/50-Batch: 100/1875--D.loss:0.1261,G.loss:0.5267\n",
            "Epoch: 2/50-Batch: 101/1875--D.loss:0.1510,G.loss:0.5082\n",
            "Epoch: 2/50-Batch: 102/1875--D.loss:0.0982,G.loss:0.6135\n",
            "Epoch: 2/50-Batch: 103/1875--D.loss:0.1659,G.loss:0.5123\n",
            "Epoch: 2/50-Batch: 104/1875--D.loss:0.1373,G.loss:0.4713\n",
            "Epoch: 2/50-Batch: 105/1875--D.loss:0.1181,G.loss:0.7701\n",
            "Epoch: 2/50-Batch: 106/1875--D.loss:0.1682,G.loss:0.5017\n",
            "Epoch: 2/50-Batch: 107/1875--D.loss:0.1592,G.loss:0.3783\n",
            "Epoch: 2/50-Batch: 108/1875--D.loss:0.1839,G.loss:0.9826\n",
            "Epoch: 2/50-Batch: 109/1875--D.loss:0.2163,G.loss:0.2332\n",
            "Epoch: 2/50-Batch: 110/1875--D.loss:0.1638,G.loss:0.7308\n",
            "Epoch: 2/50-Batch: 111/1875--D.loss:0.1219,G.loss:0.4944\n",
            "Epoch: 2/50-Batch: 112/1875--D.loss:0.1066,G.loss:0.4805\n",
            "Epoch: 2/50-Batch: 113/1875--D.loss:0.1453,G.loss:0.7849\n",
            "Epoch: 2/50-Batch: 114/1875--D.loss:0.1377,G.loss:0.4456\n",
            "Epoch: 2/50-Batch: 115/1875--D.loss:0.1247,G.loss:0.5652\n",
            "Epoch: 2/50-Batch: 116/1875--D.loss:0.1255,G.loss:0.6392\n",
            "Epoch: 2/50-Batch: 117/1875--D.loss:0.1315,G.loss:0.5689\n",
            "Epoch: 2/50-Batch: 118/1875--D.loss:0.0968,G.loss:0.6144\n",
            "Epoch: 2/50-Batch: 119/1875--D.loss:0.1430,G.loss:0.6462\n",
            "Epoch: 2/50-Batch: 120/1875--D.loss:0.1533,G.loss:0.3202\n",
            "Epoch: 2/50-Batch: 121/1875--D.loss:0.1321,G.loss:0.7380\n",
            "Epoch: 2/50-Batch: 122/1875--D.loss:0.1211,G.loss:0.6201\n",
            "Epoch: 2/50-Batch: 123/1875--D.loss:0.1293,G.loss:0.4424\n",
            "Epoch: 2/50-Batch: 124/1875--D.loss:0.1315,G.loss:0.6203\n",
            "Epoch: 2/50-Batch: 125/1875--D.loss:0.1097,G.loss:0.6141\n",
            "Epoch: 2/50-Batch: 126/1875--D.loss:0.1389,G.loss:0.5928\n",
            "Epoch: 2/50-Batch: 127/1875--D.loss:0.1633,G.loss:0.4655\n",
            "Epoch: 2/50-Batch: 128/1875--D.loss:0.1494,G.loss:0.6169\n",
            "Epoch: 2/50-Batch: 129/1875--D.loss:0.0979,G.loss:0.6848\n",
            "Epoch: 2/50-Batch: 130/1875--D.loss:0.1277,G.loss:0.7168\n",
            "Epoch: 2/50-Batch: 131/1875--D.loss:0.1303,G.loss:0.7462\n",
            "Epoch: 2/50-Batch: 132/1875--D.loss:0.1532,G.loss:0.3373\n",
            "Epoch: 2/50-Batch: 133/1875--D.loss:0.2218,G.loss:1.0444\n",
            "Epoch: 2/50-Batch: 134/1875--D.loss:0.1792,G.loss:0.2261\n",
            "Epoch: 2/50-Batch: 135/1875--D.loss:0.1377,G.loss:0.7848\n",
            "Epoch: 2/50-Batch: 136/1875--D.loss:0.0981,G.loss:0.6058\n",
            "Epoch: 2/50-Batch: 137/1875--D.loss:0.0938,G.loss:0.5583\n",
            "Epoch: 2/50-Batch: 138/1875--D.loss:0.1141,G.loss:0.5720\n",
            "Epoch: 2/50-Batch: 139/1875--D.loss:0.0898,G.loss:0.6832\n",
            "Epoch: 2/50-Batch: 140/1875--D.loss:0.1110,G.loss:0.7837\n",
            "Epoch: 2/50-Batch: 141/1875--D.loss:0.1398,G.loss:0.3283\n",
            "Epoch: 2/50-Batch: 142/1875--D.loss:0.1172,G.loss:0.8988\n",
            "Epoch: 2/50-Batch: 143/1875--D.loss:0.1118,G.loss:0.4932\n",
            "Epoch: 2/50-Batch: 144/1875--D.loss:0.1137,G.loss:0.5996\n",
            "Epoch: 2/50-Batch: 145/1875--D.loss:0.0736,G.loss:0.5999\n",
            "Epoch: 2/50-Batch: 146/1875--D.loss:0.0913,G.loss:0.5292\n",
            "Epoch: 2/50-Batch: 147/1875--D.loss:0.0991,G.loss:0.6964\n",
            "Epoch: 2/50-Batch: 148/1875--D.loss:0.1177,G.loss:0.5985\n",
            "Epoch: 2/50-Batch: 149/1875--D.loss:0.1083,G.loss:0.5707\n",
            "Epoch: 2/50-Batch: 150/1875--D.loss:0.1255,G.loss:0.5409\n",
            "Epoch: 2/50-Batch: 151/1875--D.loss:0.1879,G.loss:0.8922\n",
            "Epoch: 2/50-Batch: 152/1875--D.loss:0.1828,G.loss:0.3009\n",
            "Epoch: 2/50-Batch: 153/1875--D.loss:0.1215,G.loss:0.7401\n",
            "Epoch: 2/50-Batch: 154/1875--D.loss:0.1407,G.loss:0.4414\n",
            "Epoch: 2/50-Batch: 155/1875--D.loss:0.1061,G.loss:0.7426\n",
            "Epoch: 2/50-Batch: 156/1875--D.loss:0.1034,G.loss:0.5859\n",
            "Epoch: 2/50-Batch: 157/1875--D.loss:0.1236,G.loss:0.4923\n",
            "Epoch: 2/50-Batch: 158/1875--D.loss:0.1093,G.loss:0.5535\n",
            "Epoch: 2/50-Batch: 159/1875--D.loss:0.1196,G.loss:0.7520\n",
            "Epoch: 2/50-Batch: 160/1875--D.loss:0.1338,G.loss:0.3936\n",
            "Epoch: 2/50-Batch: 161/1875--D.loss:0.1592,G.loss:0.8588\n",
            "Epoch: 2/50-Batch: 162/1875--D.loss:0.1552,G.loss:0.3704\n",
            "Epoch: 2/50-Batch: 163/1875--D.loss:0.1019,G.loss:0.5961\n",
            "Epoch: 2/50-Batch: 164/1875--D.loss:0.1300,G.loss:0.6151\n",
            "Epoch: 2/50-Batch: 165/1875--D.loss:0.1374,G.loss:0.4461\n",
            "Epoch: 2/50-Batch: 166/1875--D.loss:0.1086,G.loss:0.7424\n",
            "Epoch: 2/50-Batch: 167/1875--D.loss:0.0885,G.loss:0.4974\n",
            "Epoch: 2/50-Batch: 168/1875--D.loss:0.1153,G.loss:0.9376\n",
            "Epoch: 2/50-Batch: 169/1875--D.loss:0.1173,G.loss:0.5563\n",
            "Epoch: 2/50-Batch: 170/1875--D.loss:0.1246,G.loss:0.5155\n",
            "Epoch: 2/50-Batch: 171/1875--D.loss:0.1377,G.loss:0.6662\n",
            "Epoch: 2/50-Batch: 172/1875--D.loss:0.0988,G.loss:0.6018\n",
            "Epoch: 2/50-Batch: 173/1875--D.loss:0.1447,G.loss:0.4865\n",
            "Epoch: 2/50-Batch: 174/1875--D.loss:0.0965,G.loss:0.6803\n",
            "Epoch: 2/50-Batch: 175/1875--D.loss:0.1261,G.loss:0.5063\n",
            "Epoch: 2/50-Batch: 176/1875--D.loss:0.1283,G.loss:0.7468\n",
            "Epoch: 2/50-Batch: 177/1875--D.loss:0.1143,G.loss:0.5280\n",
            "Epoch: 2/50-Batch: 178/1875--D.loss:0.1249,G.loss:0.9579\n",
            "Epoch: 2/50-Batch: 179/1875--D.loss:0.1512,G.loss:0.3549\n",
            "Epoch: 2/50-Batch: 180/1875--D.loss:0.1699,G.loss:0.9985\n",
            "Epoch: 2/50-Batch: 181/1875--D.loss:0.1795,G.loss:0.2462\n",
            "Epoch: 2/50-Batch: 182/1875--D.loss:0.2028,G.loss:0.9096\n",
            "Epoch: 2/50-Batch: 183/1875--D.loss:0.1610,G.loss:0.2549\n",
            "Epoch: 2/50-Batch: 184/1875--D.loss:0.1373,G.loss:0.4769\n",
            "Epoch: 2/50-Batch: 185/1875--D.loss:0.1267,G.loss:0.6056\n",
            "Epoch: 2/50-Batch: 186/1875--D.loss:0.0992,G.loss:0.6115\n",
            "Epoch: 2/50-Batch: 187/1875--D.loss:0.1156,G.loss:0.5717\n",
            "Epoch: 2/50-Batch: 188/1875--D.loss:0.1517,G.loss:0.6049\n",
            "Epoch: 2/50-Batch: 189/1875--D.loss:0.1520,G.loss:0.3699\n",
            "Epoch: 2/50-Batch: 190/1875--D.loss:0.1229,G.loss:0.7960\n",
            "Epoch: 2/50-Batch: 191/1875--D.loss:0.1473,G.loss:0.4909\n",
            "Epoch: 2/50-Batch: 192/1875--D.loss:0.1378,G.loss:0.5174\n",
            "Epoch: 2/50-Batch: 193/1875--D.loss:0.1155,G.loss:0.6729\n",
            "Epoch: 2/50-Batch: 194/1875--D.loss:0.1262,G.loss:0.6001\n",
            "Epoch: 2/50-Batch: 195/1875--D.loss:0.1798,G.loss:0.2734\n",
            "Epoch: 2/50-Batch: 196/1875--D.loss:0.1132,G.loss:0.6984\n",
            "Epoch: 2/50-Batch: 197/1875--D.loss:0.1130,G.loss:0.7440\n",
            "Epoch: 2/50-Batch: 198/1875--D.loss:0.1486,G.loss:0.3342\n",
            "Epoch: 2/50-Batch: 199/1875--D.loss:0.1410,G.loss:0.8876\n",
            "Epoch: 2/50-Batch: 200/1875--D.loss:0.0925,G.loss:0.5171\n",
            "Epoch: 2/50-Batch: 201/1875--D.loss:0.1226,G.loss:0.4318\n",
            "Epoch: 2/50-Batch: 202/1875--D.loss:0.1786,G.loss:1.0018\n",
            "Epoch: 2/50-Batch: 203/1875--D.loss:0.1543,G.loss:0.3141\n",
            "Epoch: 2/50-Batch: 204/1875--D.loss:0.1062,G.loss:0.6324\n",
            "Epoch: 2/50-Batch: 205/1875--D.loss:0.0916,G.loss:0.6617\n",
            "Epoch: 2/50-Batch: 206/1875--D.loss:0.0933,G.loss:0.6597\n",
            "Epoch: 2/50-Batch: 207/1875--D.loss:0.1342,G.loss:0.4419\n",
            "Epoch: 2/50-Batch: 208/1875--D.loss:0.1642,G.loss:0.8785\n",
            "Epoch: 2/50-Batch: 209/1875--D.loss:0.1645,G.loss:0.2684\n",
            "Epoch: 2/50-Batch: 210/1875--D.loss:0.1048,G.loss:0.6692\n",
            "Epoch: 2/50-Batch: 211/1875--D.loss:0.1375,G.loss:0.5945\n",
            "Epoch: 2/50-Batch: 212/1875--D.loss:0.1039,G.loss:0.4981\n",
            "Epoch: 2/50-Batch: 213/1875--D.loss:0.1270,G.loss:0.7212\n",
            "Epoch: 2/50-Batch: 214/1875--D.loss:0.1055,G.loss:0.4794\n",
            "Epoch: 2/50-Batch: 215/1875--D.loss:0.1180,G.loss:0.6146\n",
            "Epoch: 2/50-Batch: 216/1875--D.loss:0.1486,G.loss:0.6735\n",
            "Epoch: 2/50-Batch: 217/1875--D.loss:0.1418,G.loss:0.4132\n",
            "Epoch: 2/50-Batch: 218/1875--D.loss:0.1097,G.loss:0.7349\n",
            "Epoch: 2/50-Batch: 219/1875--D.loss:0.1545,G.loss:0.4358\n",
            "Epoch: 2/50-Batch: 220/1875--D.loss:0.1197,G.loss:0.7534\n",
            "Epoch: 2/50-Batch: 221/1875--D.loss:0.1076,G.loss:0.5109\n",
            "Epoch: 2/50-Batch: 222/1875--D.loss:0.1002,G.loss:0.8788\n",
            "Epoch: 2/50-Batch: 223/1875--D.loss:0.1352,G.loss:0.4551\n",
            "Epoch: 2/50-Batch: 224/1875--D.loss:0.1382,G.loss:0.7547\n",
            "Epoch: 2/50-Batch: 225/1875--D.loss:0.1398,G.loss:0.3870\n",
            "Epoch: 2/50-Batch: 226/1875--D.loss:0.1186,G.loss:0.6323\n",
            "Epoch: 2/50-Batch: 227/1875--D.loss:0.1033,G.loss:0.6383\n",
            "Epoch: 2/50-Batch: 228/1875--D.loss:0.1497,G.loss:0.5931\n",
            "Epoch: 2/50-Batch: 229/1875--D.loss:0.1418,G.loss:0.5327\n",
            "Epoch: 2/50-Batch: 230/1875--D.loss:0.1600,G.loss:0.7232\n",
            "Epoch: 2/50-Batch: 231/1875--D.loss:0.1193,G.loss:0.4148\n",
            "Epoch: 2/50-Batch: 232/1875--D.loss:0.1032,G.loss:0.6337\n",
            "Epoch: 2/50-Batch: 233/1875--D.loss:0.1240,G.loss:0.5482\n",
            "Epoch: 2/50-Batch: 234/1875--D.loss:0.1303,G.loss:0.9276\n",
            "Epoch: 2/50-Batch: 235/1875--D.loss:0.2497,G.loss:0.1503\n",
            "Epoch: 2/50-Batch: 236/1875--D.loss:0.2276,G.loss:1.1945\n",
            "Epoch: 2/50-Batch: 237/1875--D.loss:0.1754,G.loss:0.2807\n",
            "Epoch: 2/50-Batch: 238/1875--D.loss:0.1339,G.loss:0.6518\n",
            "Epoch: 2/50-Batch: 239/1875--D.loss:0.1321,G.loss:0.7156\n",
            "Epoch: 2/50-Batch: 240/1875--D.loss:0.0988,G.loss:0.4270\n",
            "Epoch: 2/50-Batch: 241/1875--D.loss:0.1348,G.loss:0.5694\n",
            "Epoch: 2/50-Batch: 242/1875--D.loss:0.1442,G.loss:0.7966\n",
            "Epoch: 2/50-Batch: 243/1875--D.loss:0.1490,G.loss:0.3237\n",
            "Epoch: 2/50-Batch: 244/1875--D.loss:0.1413,G.loss:0.7068\n",
            "Epoch: 2/50-Batch: 245/1875--D.loss:0.1186,G.loss:0.4738\n",
            "Epoch: 2/50-Batch: 246/1875--D.loss:0.1118,G.loss:0.5878\n",
            "Epoch: 2/50-Batch: 247/1875--D.loss:0.1051,G.loss:0.5885\n",
            "Epoch: 2/50-Batch: 248/1875--D.loss:0.1017,G.loss:0.4943\n",
            "Epoch: 2/50-Batch: 249/1875--D.loss:0.1392,G.loss:0.8163\n",
            "Epoch: 2/50-Batch: 250/1875--D.loss:0.2151,G.loss:0.2482\n",
            "Epoch: 2/50-Batch: 251/1875--D.loss:0.1239,G.loss:0.8406\n",
            "Epoch: 2/50-Batch: 252/1875--D.loss:0.0987,G.loss:0.6984\n",
            "Epoch: 2/50-Batch: 253/1875--D.loss:0.1408,G.loss:0.4522\n",
            "Epoch: 2/50-Batch: 254/1875--D.loss:0.1358,G.loss:0.7089\n",
            "Epoch: 2/50-Batch: 255/1875--D.loss:0.1242,G.loss:0.5986\n",
            "Epoch: 2/50-Batch: 256/1875--D.loss:0.1537,G.loss:0.3155\n",
            "Epoch: 2/50-Batch: 257/1875--D.loss:0.1099,G.loss:0.6687\n",
            "Epoch: 2/50-Batch: 258/1875--D.loss:0.1232,G.loss:0.5961\n",
            "Epoch: 2/50-Batch: 259/1875--D.loss:0.1449,G.loss:0.4574\n",
            "Epoch: 2/50-Batch: 260/1875--D.loss:0.1189,G.loss:0.6337\n",
            "Epoch: 2/50-Batch: 261/1875--D.loss:0.1674,G.loss:0.5888\n",
            "Epoch: 2/50-Batch: 262/1875--D.loss:0.1078,G.loss:0.4912\n",
            "Epoch: 2/50-Batch: 263/1875--D.loss:0.1428,G.loss:0.7345\n",
            "Epoch: 2/50-Batch: 264/1875--D.loss:0.1196,G.loss:0.4443\n",
            "Epoch: 2/50-Batch: 265/1875--D.loss:0.1215,G.loss:0.8141\n",
            "Epoch: 2/50-Batch: 266/1875--D.loss:0.1496,G.loss:0.4730\n",
            "Epoch: 2/50-Batch: 267/1875--D.loss:0.1314,G.loss:0.6501\n",
            "Epoch: 2/50-Batch: 268/1875--D.loss:0.1409,G.loss:0.4590\n",
            "Epoch: 2/50-Batch: 269/1875--D.loss:0.1571,G.loss:0.7314\n",
            "Epoch: 2/50-Batch: 270/1875--D.loss:0.1772,G.loss:0.3435\n",
            "Epoch: 2/50-Batch: 271/1875--D.loss:0.1273,G.loss:0.7810\n",
            "Epoch: 2/50-Batch: 272/1875--D.loss:0.1245,G.loss:0.5074\n",
            "Epoch: 2/50-Batch: 273/1875--D.loss:0.1298,G.loss:0.4379\n",
            "Epoch: 2/50-Batch: 274/1875--D.loss:0.1422,G.loss:0.5752\n",
            "Epoch: 2/50-Batch: 275/1875--D.loss:0.1664,G.loss:0.6859\n",
            "Epoch: 2/50-Batch: 276/1875--D.loss:0.1575,G.loss:0.3358\n",
            "Epoch: 2/50-Batch: 277/1875--D.loss:0.1323,G.loss:0.9410\n",
            "Epoch: 2/50-Batch: 278/1875--D.loss:0.1328,G.loss:0.4485\n",
            "Epoch: 2/50-Batch: 279/1875--D.loss:0.1292,G.loss:0.6265\n",
            "Epoch: 2/50-Batch: 280/1875--D.loss:0.1182,G.loss:0.5612\n",
            "Epoch: 2/50-Batch: 281/1875--D.loss:0.0916,G.loss:0.5389\n",
            "Epoch: 2/50-Batch: 282/1875--D.loss:0.1478,G.loss:0.7184\n",
            "Epoch: 2/50-Batch: 283/1875--D.loss:0.1123,G.loss:0.4745\n",
            "Epoch: 2/50-Batch: 284/1875--D.loss:0.1370,G.loss:0.8053\n",
            "Epoch: 2/50-Batch: 285/1875--D.loss:0.1532,G.loss:0.2877\n",
            "Epoch: 2/50-Batch: 286/1875--D.loss:0.1408,G.loss:0.9469\n",
            "Epoch: 2/50-Batch: 287/1875--D.loss:0.1312,G.loss:0.5547\n",
            "Epoch: 2/50-Batch: 288/1875--D.loss:0.1369,G.loss:0.3324\n",
            "Epoch: 2/50-Batch: 289/1875--D.loss:0.1708,G.loss:0.6634\n",
            "Epoch: 2/50-Batch: 290/1875--D.loss:0.1227,G.loss:0.5230\n",
            "Epoch: 2/50-Batch: 291/1875--D.loss:0.1139,G.loss:0.5284\n",
            "Epoch: 2/50-Batch: 292/1875--D.loss:0.0950,G.loss:0.7841\n",
            "Epoch: 2/50-Batch: 293/1875--D.loss:0.1052,G.loss:0.4409\n",
            "Epoch: 2/50-Batch: 294/1875--D.loss:0.1168,G.loss:0.9093\n",
            "Epoch: 2/50-Batch: 295/1875--D.loss:0.1131,G.loss:0.5211\n",
            "Epoch: 2/50-Batch: 296/1875--D.loss:0.1008,G.loss:0.5089\n",
            "Epoch: 2/50-Batch: 297/1875--D.loss:0.1565,G.loss:0.7140\n",
            "Epoch: 2/50-Batch: 298/1875--D.loss:0.1528,G.loss:0.3284\n",
            "Epoch: 2/50-Batch: 299/1875--D.loss:0.1209,G.loss:0.7307\n",
            "Epoch: 2/50-Batch: 300/1875--D.loss:0.1066,G.loss:0.5360\n",
            "Epoch: 2/50-Batch: 301/1875--D.loss:0.1339,G.loss:0.7290\n",
            "Epoch: 2/50-Batch: 302/1875--D.loss:0.1326,G.loss:0.3442\n",
            "Epoch: 2/50-Batch: 303/1875--D.loss:0.1398,G.loss:0.8924\n",
            "Epoch: 2/50-Batch: 304/1875--D.loss:0.1275,G.loss:0.4020\n",
            "Epoch: 2/50-Batch: 305/1875--D.loss:0.1510,G.loss:0.7108\n",
            "Epoch: 2/50-Batch: 306/1875--D.loss:0.1125,G.loss:0.5942\n",
            "Epoch: 2/50-Batch: 307/1875--D.loss:0.1465,G.loss:0.5292\n",
            "Epoch: 2/50-Batch: 308/1875--D.loss:0.1100,G.loss:0.3974\n",
            "Epoch: 2/50-Batch: 309/1875--D.loss:0.1019,G.loss:0.5617\n",
            "Epoch: 2/50-Batch: 310/1875--D.loss:0.1837,G.loss:0.9930\n",
            "Epoch: 2/50-Batch: 311/1875--D.loss:0.1976,G.loss:0.2460\n",
            "Epoch: 2/50-Batch: 312/1875--D.loss:0.1475,G.loss:0.9853\n",
            "Epoch: 2/50-Batch: 313/1875--D.loss:0.1413,G.loss:0.4498\n",
            "Epoch: 2/50-Batch: 314/1875--D.loss:0.1288,G.loss:0.4707\n",
            "Epoch: 2/50-Batch: 315/1875--D.loss:0.1109,G.loss:0.6957\n",
            "Epoch: 2/50-Batch: 316/1875--D.loss:0.1077,G.loss:0.5930\n",
            "Epoch: 2/50-Batch: 317/1875--D.loss:0.1124,G.loss:0.4973\n",
            "Epoch: 2/50-Batch: 318/1875--D.loss:0.1226,G.loss:0.7015\n",
            "Epoch: 2/50-Batch: 319/1875--D.loss:0.1451,G.loss:0.5396\n",
            "Epoch: 2/50-Batch: 320/1875--D.loss:0.1308,G.loss:0.3460\n",
            "Epoch: 2/50-Batch: 321/1875--D.loss:0.1448,G.loss:0.9674\n",
            "Epoch: 2/50-Batch: 322/1875--D.loss:0.1037,G.loss:0.5233\n",
            "Epoch: 2/50-Batch: 323/1875--D.loss:0.1561,G.loss:0.4257\n",
            "Epoch: 2/50-Batch: 324/1875--D.loss:0.1155,G.loss:0.9177\n",
            "Epoch: 2/50-Batch: 325/1875--D.loss:0.1260,G.loss:0.5291\n",
            "Epoch: 2/50-Batch: 326/1875--D.loss:0.1177,G.loss:0.4615\n",
            "Epoch: 2/50-Batch: 327/1875--D.loss:0.1293,G.loss:0.8489\n",
            "Epoch: 2/50-Batch: 328/1875--D.loss:0.1317,G.loss:0.4471\n",
            "Epoch: 2/50-Batch: 329/1875--D.loss:0.1252,G.loss:0.5813\n",
            "Epoch: 2/50-Batch: 330/1875--D.loss:0.1092,G.loss:0.5734\n",
            "Epoch: 2/50-Batch: 331/1875--D.loss:0.1431,G.loss:0.6324\n",
            "Epoch: 2/50-Batch: 332/1875--D.loss:0.1501,G.loss:0.4324\n",
            "Epoch: 2/50-Batch: 333/1875--D.loss:0.1205,G.loss:0.8487\n",
            "Epoch: 2/50-Batch: 334/1875--D.loss:0.1599,G.loss:0.3207\n",
            "Epoch: 2/50-Batch: 335/1875--D.loss:0.1989,G.loss:0.9356\n",
            "Epoch: 2/50-Batch: 336/1875--D.loss:0.1908,G.loss:0.3019\n",
            "Epoch: 2/50-Batch: 337/1875--D.loss:0.1323,G.loss:0.5282\n",
            "Epoch: 2/50-Batch: 338/1875--D.loss:0.1448,G.loss:0.7639\n",
            "Epoch: 2/50-Batch: 339/1875--D.loss:0.2139,G.loss:0.2548\n",
            "Epoch: 2/50-Batch: 340/1875--D.loss:0.1050,G.loss:0.6909\n",
            "Epoch: 2/50-Batch: 341/1875--D.loss:0.1253,G.loss:0.5924\n",
            "Epoch: 2/50-Batch: 342/1875--D.loss:0.1483,G.loss:0.3866\n",
            "Epoch: 2/50-Batch: 343/1875--D.loss:0.1721,G.loss:0.7135\n",
            "Epoch: 2/50-Batch: 344/1875--D.loss:0.1256,G.loss:0.4445\n",
            "Epoch: 2/50-Batch: 345/1875--D.loss:0.1073,G.loss:0.5864\n",
            "Epoch: 2/50-Batch: 346/1875--D.loss:0.1375,G.loss:0.5516\n",
            "Epoch: 2/50-Batch: 347/1875--D.loss:0.1275,G.loss:0.4535\n",
            "Epoch: 2/50-Batch: 348/1875--D.loss:0.1319,G.loss:0.6965\n",
            "Epoch: 2/50-Batch: 349/1875--D.loss:0.1066,G.loss:0.5835\n",
            "Epoch: 2/50-Batch: 350/1875--D.loss:0.1204,G.loss:0.6061\n",
            "Epoch: 2/50-Batch: 351/1875--D.loss:0.1405,G.loss:0.5388\n",
            "Epoch: 2/50-Batch: 352/1875--D.loss:0.1337,G.loss:0.4320\n",
            "Epoch: 2/50-Batch: 353/1875--D.loss:0.1310,G.loss:0.6293\n",
            "Epoch: 2/50-Batch: 354/1875--D.loss:0.1136,G.loss:0.5552\n",
            "Epoch: 2/50-Batch: 355/1875--D.loss:0.1309,G.loss:0.5717\n",
            "Epoch: 2/50-Batch: 356/1875--D.loss:0.1291,G.loss:0.5389\n",
            "Epoch: 2/50-Batch: 357/1875--D.loss:0.1453,G.loss:0.4924\n",
            "Epoch: 2/50-Batch: 358/1875--D.loss:0.1803,G.loss:0.7879\n",
            "Epoch: 2/50-Batch: 359/1875--D.loss:0.2303,G.loss:0.1936\n",
            "Epoch: 2/50-Batch: 360/1875--D.loss:0.1317,G.loss:0.8507\n",
            "Epoch: 2/50-Batch: 361/1875--D.loss:0.1362,G.loss:0.6391\n",
            "Epoch: 2/50-Batch: 362/1875--D.loss:0.1252,G.loss:0.3727\n",
            "Epoch: 2/50-Batch: 363/1875--D.loss:0.1459,G.loss:0.9051\n",
            "Epoch: 2/50-Batch: 364/1875--D.loss:0.1112,G.loss:0.5952\n",
            "Epoch: 2/50-Batch: 365/1875--D.loss:0.1213,G.loss:0.4502\n",
            "Epoch: 2/50-Batch: 366/1875--D.loss:0.1492,G.loss:0.8098\n",
            "Epoch: 2/50-Batch: 367/1875--D.loss:0.1646,G.loss:0.3639\n",
            "Epoch: 2/50-Batch: 368/1875--D.loss:0.1554,G.loss:0.6569\n",
            "Epoch: 2/50-Batch: 369/1875--D.loss:0.1143,G.loss:0.4822\n",
            "Epoch: 2/50-Batch: 370/1875--D.loss:0.1649,G.loss:0.5423\n",
            "Epoch: 2/50-Batch: 371/1875--D.loss:0.1136,G.loss:0.4809\n",
            "Epoch: 2/50-Batch: 372/1875--D.loss:0.1167,G.loss:0.6188\n",
            "Epoch: 2/50-Batch: 373/1875--D.loss:0.1041,G.loss:0.5823\n",
            "Epoch: 2/50-Batch: 374/1875--D.loss:0.1640,G.loss:0.5113\n",
            "Epoch: 2/50-Batch: 375/1875--D.loss:0.1620,G.loss:0.6156\n",
            "Epoch: 2/50-Batch: 376/1875--D.loss:0.1120,G.loss:0.7088\n",
            "Epoch: 2/50-Batch: 377/1875--D.loss:0.1501,G.loss:0.5795\n",
            "Epoch: 2/50-Batch: 378/1875--D.loss:0.1234,G.loss:0.6006\n",
            "Epoch: 2/50-Batch: 379/1875--D.loss:0.1550,G.loss:0.4384\n",
            "Epoch: 2/50-Batch: 380/1875--D.loss:0.1622,G.loss:0.6688\n",
            "Epoch: 2/50-Batch: 381/1875--D.loss:0.1939,G.loss:0.2543\n",
            "Epoch: 2/50-Batch: 382/1875--D.loss:0.1954,G.loss:0.9150\n",
            "Epoch: 2/50-Batch: 383/1875--D.loss:0.2194,G.loss:0.2330\n",
            "Epoch: 2/50-Batch: 384/1875--D.loss:0.1500,G.loss:0.6661\n",
            "Epoch: 2/50-Batch: 385/1875--D.loss:0.1249,G.loss:0.6125\n",
            "Epoch: 2/50-Batch: 386/1875--D.loss:0.1655,G.loss:0.3700\n",
            "Epoch: 2/50-Batch: 387/1875--D.loss:0.1579,G.loss:0.5023\n",
            "Epoch: 2/50-Batch: 388/1875--D.loss:0.1667,G.loss:0.5531\n",
            "Epoch: 2/50-Batch: 389/1875--D.loss:0.1568,G.loss:0.4363\n",
            "Epoch: 2/50-Batch: 390/1875--D.loss:0.1888,G.loss:0.4465\n",
            "Epoch: 2/50-Batch: 391/1875--D.loss:0.1422,G.loss:0.4849\n",
            "Epoch: 2/50-Batch: 392/1875--D.loss:0.0860,G.loss:0.6706\n",
            "Epoch: 2/50-Batch: 393/1875--D.loss:0.1133,G.loss:0.6011\n",
            "Epoch: 2/50-Batch: 394/1875--D.loss:0.1294,G.loss:0.4427\n",
            "Epoch: 2/50-Batch: 395/1875--D.loss:0.1335,G.loss:0.8340\n",
            "Epoch: 2/50-Batch: 396/1875--D.loss:0.1442,G.loss:0.4742\n",
            "Epoch: 2/50-Batch: 397/1875--D.loss:0.1175,G.loss:0.6165\n",
            "Epoch: 2/50-Batch: 398/1875--D.loss:0.1406,G.loss:0.8437\n",
            "Epoch: 2/50-Batch: 399/1875--D.loss:0.2075,G.loss:0.2242\n",
            "Epoch: 2/50-Batch: 400/1875--D.loss:0.1798,G.loss:0.7498\n",
            "Epoch: 2/50-Batch: 401/1875--D.loss:0.1288,G.loss:0.4168\n",
            "Epoch: 2/50-Batch: 402/1875--D.loss:0.1262,G.loss:0.5103\n",
            "Epoch: 2/50-Batch: 403/1875--D.loss:0.1146,G.loss:0.7666\n",
            "Epoch: 2/50-Batch: 404/1875--D.loss:0.1329,G.loss:0.4490\n",
            "Epoch: 2/50-Batch: 405/1875--D.loss:0.1098,G.loss:0.6500\n",
            "Epoch: 2/50-Batch: 406/1875--D.loss:0.1169,G.loss:0.4965\n",
            "Epoch: 2/50-Batch: 407/1875--D.loss:0.1134,G.loss:0.7486\n",
            "Epoch: 2/50-Batch: 408/1875--D.loss:0.1470,G.loss:0.6726\n",
            "Epoch: 2/50-Batch: 409/1875--D.loss:0.1742,G.loss:0.2784\n",
            "Epoch: 2/50-Batch: 410/1875--D.loss:0.1481,G.loss:1.0433\n",
            "Epoch: 2/50-Batch: 411/1875--D.loss:0.1509,G.loss:0.3627\n",
            "Epoch: 2/50-Batch: 412/1875--D.loss:0.1295,G.loss:0.5229\n",
            "Epoch: 2/50-Batch: 413/1875--D.loss:0.1344,G.loss:0.8088\n",
            "Epoch: 2/50-Batch: 414/1875--D.loss:0.1551,G.loss:0.3037\n",
            "Epoch: 2/50-Batch: 415/1875--D.loss:0.1456,G.loss:0.8116\n",
            "Epoch: 2/50-Batch: 416/1875--D.loss:0.1969,G.loss:0.3066\n",
            "Epoch: 2/50-Batch: 417/1875--D.loss:0.1162,G.loss:0.6393\n",
            "Epoch: 2/50-Batch: 418/1875--D.loss:0.1192,G.loss:0.7286\n",
            "Epoch: 2/50-Batch: 419/1875--D.loss:0.1279,G.loss:0.4650\n",
            "Epoch: 2/50-Batch: 420/1875--D.loss:0.1232,G.loss:0.6017\n",
            "Epoch: 2/50-Batch: 421/1875--D.loss:0.1466,G.loss:0.5904\n",
            "Epoch: 2/50-Batch: 422/1875--D.loss:0.1566,G.loss:0.4930\n",
            "Epoch: 2/50-Batch: 423/1875--D.loss:0.1324,G.loss:0.5919\n",
            "Epoch: 2/50-Batch: 424/1875--D.loss:0.1137,G.loss:0.5150\n",
            "Epoch: 2/50-Batch: 425/1875--D.loss:0.1434,G.loss:0.5501\n",
            "Epoch: 2/50-Batch: 426/1875--D.loss:0.1417,G.loss:0.4464\n",
            "Epoch: 2/50-Batch: 427/1875--D.loss:0.1377,G.loss:0.6624\n",
            "Epoch: 2/50-Batch: 428/1875--D.loss:0.1206,G.loss:0.4946\n",
            "Epoch: 2/50-Batch: 429/1875--D.loss:0.1214,G.loss:0.6820\n",
            "Epoch: 2/50-Batch: 430/1875--D.loss:0.0897,G.loss:0.7064\n",
            "Epoch: 2/50-Batch: 431/1875--D.loss:0.1313,G.loss:0.4238\n",
            "Epoch: 2/50-Batch: 432/1875--D.loss:0.1460,G.loss:0.8012\n",
            "Epoch: 2/50-Batch: 433/1875--D.loss:0.1421,G.loss:0.3528\n",
            "Epoch: 2/50-Batch: 434/1875--D.loss:0.1923,G.loss:0.8354\n",
            "Epoch: 2/50-Batch: 435/1875--D.loss:0.1188,G.loss:0.3931\n",
            "Epoch: 2/50-Batch: 436/1875--D.loss:0.0987,G.loss:0.8347\n",
            "Epoch: 2/50-Batch: 437/1875--D.loss:0.1206,G.loss:0.5668\n",
            "Epoch: 2/50-Batch: 438/1875--D.loss:0.1132,G.loss:0.6007\n",
            "Epoch: 2/50-Batch: 439/1875--D.loss:0.1297,G.loss:0.5571\n",
            "Epoch: 2/50-Batch: 440/1875--D.loss:0.1261,G.loss:0.6299\n",
            "Epoch: 2/50-Batch: 441/1875--D.loss:0.1208,G.loss:0.4390\n",
            "Epoch: 2/50-Batch: 442/1875--D.loss:0.1233,G.loss:0.7183\n",
            "Epoch: 2/50-Batch: 443/1875--D.loss:0.0928,G.loss:0.5528\n",
            "Epoch: 2/50-Batch: 444/1875--D.loss:0.1322,G.loss:0.4957\n",
            "Epoch: 2/50-Batch: 445/1875--D.loss:0.1051,G.loss:0.6969\n",
            "Epoch: 2/50-Batch: 446/1875--D.loss:0.1155,G.loss:0.5493\n",
            "Epoch: 2/50-Batch: 447/1875--D.loss:0.1080,G.loss:0.6722\n",
            "Epoch: 2/50-Batch: 448/1875--D.loss:0.1419,G.loss:0.7207\n",
            "Epoch: 2/50-Batch: 449/1875--D.loss:0.1814,G.loss:0.3237\n",
            "Epoch: 2/50-Batch: 450/1875--D.loss:0.1680,G.loss:1.1453\n",
            "Epoch: 2/50-Batch: 451/1875--D.loss:0.2014,G.loss:0.2921\n",
            "Epoch: 2/50-Batch: 452/1875--D.loss:0.1382,G.loss:0.5777\n",
            "Epoch: 2/50-Batch: 453/1875--D.loss:0.0957,G.loss:0.6528\n",
            "Epoch: 2/50-Batch: 454/1875--D.loss:0.1211,G.loss:0.6502\n",
            "Epoch: 2/50-Batch: 455/1875--D.loss:0.1330,G.loss:0.5901\n",
            "Epoch: 2/50-Batch: 456/1875--D.loss:0.1405,G.loss:0.4256\n",
            "Epoch: 2/50-Batch: 457/1875--D.loss:0.1131,G.loss:0.5727\n",
            "Epoch: 2/50-Batch: 458/1875--D.loss:0.1102,G.loss:0.6957\n",
            "Epoch: 2/50-Batch: 459/1875--D.loss:0.1183,G.loss:0.4023\n",
            "Epoch: 2/50-Batch: 460/1875--D.loss:0.1275,G.loss:0.7617\n",
            "Epoch: 2/50-Batch: 461/1875--D.loss:0.1276,G.loss:0.5677\n",
            "Epoch: 2/50-Batch: 462/1875--D.loss:0.1239,G.loss:0.5341\n",
            "Epoch: 2/50-Batch: 463/1875--D.loss:0.1164,G.loss:0.7102\n",
            "Epoch: 2/50-Batch: 464/1875--D.loss:0.1175,G.loss:0.3798\n",
            "Epoch: 2/50-Batch: 465/1875--D.loss:0.1296,G.loss:0.8243\n",
            "Epoch: 2/50-Batch: 466/1875--D.loss:0.1136,G.loss:0.5250\n",
            "Epoch: 2/50-Batch: 467/1875--D.loss:0.1160,G.loss:0.7098\n",
            "Epoch: 2/50-Batch: 468/1875--D.loss:0.1233,G.loss:0.5911\n",
            "Epoch: 2/50-Batch: 469/1875--D.loss:0.1042,G.loss:0.6559\n",
            "Epoch: 2/50-Batch: 470/1875--D.loss:0.0767,G.loss:0.6832\n",
            "Epoch: 2/50-Batch: 471/1875--D.loss:0.1131,G.loss:0.7181\n",
            "Epoch: 2/50-Batch: 472/1875--D.loss:0.1492,G.loss:0.4666\n",
            "Epoch: 2/50-Batch: 473/1875--D.loss:0.1144,G.loss:0.5547\n",
            "Epoch: 2/50-Batch: 474/1875--D.loss:0.1013,G.loss:0.6891\n",
            "Epoch: 2/50-Batch: 475/1875--D.loss:0.1103,G.loss:0.5788\n",
            "Epoch: 2/50-Batch: 476/1875--D.loss:0.1416,G.loss:0.6801\n",
            "Epoch: 2/50-Batch: 477/1875--D.loss:0.1625,G.loss:0.4162\n",
            "Epoch: 2/50-Batch: 478/1875--D.loss:0.1259,G.loss:0.6797\n",
            "Epoch: 2/50-Batch: 479/1875--D.loss:0.1387,G.loss:0.4357\n",
            "Epoch: 2/50-Batch: 480/1875--D.loss:0.1153,G.loss:0.9542\n",
            "Epoch: 2/50-Batch: 481/1875--D.loss:0.1420,G.loss:0.3751\n",
            "Epoch: 2/50-Batch: 482/1875--D.loss:0.1201,G.loss:0.5459\n",
            "Epoch: 2/50-Batch: 483/1875--D.loss:0.1147,G.loss:0.6473\n",
            "Epoch: 2/50-Batch: 484/1875--D.loss:0.1523,G.loss:0.5090\n",
            "Epoch: 2/50-Batch: 485/1875--D.loss:0.1366,G.loss:0.3694\n",
            "Epoch: 2/50-Batch: 486/1875--D.loss:0.1476,G.loss:0.8324\n",
            "Epoch: 2/50-Batch: 487/1875--D.loss:0.1242,G.loss:0.5543\n",
            "Epoch: 2/50-Batch: 488/1875--D.loss:0.1298,G.loss:0.4536\n",
            "Epoch: 2/50-Batch: 489/1875--D.loss:0.1017,G.loss:0.5864\n",
            "Epoch: 2/50-Batch: 490/1875--D.loss:0.1655,G.loss:0.7216\n",
            "Epoch: 2/50-Batch: 491/1875--D.loss:0.1646,G.loss:0.1907\n",
            "Epoch: 2/50-Batch: 492/1875--D.loss:0.1800,G.loss:1.1445\n",
            "Epoch: 2/50-Batch: 493/1875--D.loss:0.1278,G.loss:0.3576\n",
            "Epoch: 2/50-Batch: 494/1875--D.loss:0.1296,G.loss:0.6188\n",
            "Epoch: 2/50-Batch: 495/1875--D.loss:0.1096,G.loss:0.5437\n",
            "Epoch: 2/50-Batch: 496/1875--D.loss:0.1104,G.loss:0.5862\n",
            "Epoch: 2/50-Batch: 497/1875--D.loss:0.1261,G.loss:0.5143\n",
            "Epoch: 2/50-Batch: 498/1875--D.loss:0.1242,G.loss:0.5387\n",
            "Epoch: 2/50-Batch: 499/1875--D.loss:0.1480,G.loss:0.3643\n",
            "Epoch: 2/50-Batch: 500/1875--D.loss:0.1296,G.loss:0.4697\n",
            "Epoch: 2/50-Batch: 501/1875--D.loss:0.1431,G.loss:0.9670\n",
            "Epoch: 2/50-Batch: 502/1875--D.loss:0.1438,G.loss:0.3484\n",
            "Epoch: 2/50-Batch: 503/1875--D.loss:0.1067,G.loss:1.0097\n",
            "Epoch: 2/50-Batch: 504/1875--D.loss:0.1493,G.loss:0.5020\n",
            "Epoch: 2/50-Batch: 505/1875--D.loss:0.1308,G.loss:0.6341\n",
            "Epoch: 2/50-Batch: 506/1875--D.loss:0.1657,G.loss:0.5266\n",
            "Epoch: 2/50-Batch: 507/1875--D.loss:0.1275,G.loss:0.4758\n",
            "Epoch: 2/50-Batch: 508/1875--D.loss:0.1517,G.loss:0.4133\n",
            "Epoch: 2/50-Batch: 509/1875--D.loss:0.1523,G.loss:1.0138\n",
            "Epoch: 2/50-Batch: 510/1875--D.loss:0.1820,G.loss:0.3010\n",
            "Epoch: 2/50-Batch: 511/1875--D.loss:0.1331,G.loss:0.9399\n",
            "Epoch: 2/50-Batch: 512/1875--D.loss:0.1232,G.loss:0.5197\n",
            "Epoch: 2/50-Batch: 513/1875--D.loss:0.1064,G.loss:0.4764\n",
            "Epoch: 2/50-Batch: 514/1875--D.loss:0.1145,G.loss:0.6565\n",
            "Epoch: 2/50-Batch: 515/1875--D.loss:0.1159,G.loss:0.4754\n",
            "Epoch: 2/50-Batch: 516/1875--D.loss:0.1273,G.loss:0.4927\n",
            "Epoch: 2/50-Batch: 517/1875--D.loss:0.1151,G.loss:0.6378\n",
            "Epoch: 2/50-Batch: 518/1875--D.loss:0.1393,G.loss:0.4669\n",
            "Epoch: 2/50-Batch: 519/1875--D.loss:0.0942,G.loss:0.7145\n",
            "Epoch: 2/50-Batch: 520/1875--D.loss:0.1328,G.loss:0.6692\n",
            "Epoch: 2/50-Batch: 521/1875--D.loss:0.1017,G.loss:0.5410\n",
            "Epoch: 2/50-Batch: 522/1875--D.loss:0.1367,G.loss:0.7943\n",
            "Epoch: 2/50-Batch: 523/1875--D.loss:0.1196,G.loss:0.5066\n",
            "Epoch: 2/50-Batch: 524/1875--D.loss:0.1761,G.loss:1.0443\n",
            "Epoch: 2/50-Batch: 525/1875--D.loss:0.2993,G.loss:0.1111\n",
            "Epoch: 2/50-Batch: 526/1875--D.loss:0.2450,G.loss:1.0484\n",
            "Epoch: 2/50-Batch: 527/1875--D.loss:0.1329,G.loss:0.4066\n",
            "Epoch: 2/50-Batch: 528/1875--D.loss:0.1491,G.loss:0.4175\n",
            "Epoch: 2/50-Batch: 529/1875--D.loss:0.1465,G.loss:0.6527\n",
            "Epoch: 2/50-Batch: 530/1875--D.loss:0.1146,G.loss:0.6157\n",
            "Epoch: 2/50-Batch: 531/1875--D.loss:0.1394,G.loss:0.5009\n",
            "Epoch: 2/50-Batch: 532/1875--D.loss:0.0933,G.loss:0.5336\n",
            "Epoch: 2/50-Batch: 533/1875--D.loss:0.1614,G.loss:0.7046\n",
            "Epoch: 2/50-Batch: 534/1875--D.loss:0.1742,G.loss:0.3874\n",
            "Epoch: 2/50-Batch: 535/1875--D.loss:0.1147,G.loss:0.6189\n",
            "Epoch: 2/50-Batch: 536/1875--D.loss:0.1267,G.loss:0.7150\n",
            "Epoch: 2/50-Batch: 537/1875--D.loss:0.1485,G.loss:0.3774\n",
            "Epoch: 2/50-Batch: 538/1875--D.loss:0.0952,G.loss:0.7179\n",
            "Epoch: 2/50-Batch: 539/1875--D.loss:0.1121,G.loss:0.7934\n",
            "Epoch: 2/50-Batch: 540/1875--D.loss:0.1480,G.loss:0.5485\n",
            "Epoch: 2/50-Batch: 541/1875--D.loss:0.1608,G.loss:0.3527\n",
            "Epoch: 2/50-Batch: 542/1875--D.loss:0.1172,G.loss:0.7673\n",
            "Epoch: 2/50-Batch: 543/1875--D.loss:0.0807,G.loss:0.6103\n",
            "Epoch: 2/50-Batch: 544/1875--D.loss:0.1057,G.loss:0.6290\n",
            "Epoch: 2/50-Batch: 545/1875--D.loss:0.1667,G.loss:0.5468\n",
            "Epoch: 2/50-Batch: 546/1875--D.loss:0.0947,G.loss:0.6167\n",
            "Epoch: 2/50-Batch: 547/1875--D.loss:0.1397,G.loss:0.5441\n",
            "Epoch: 2/50-Batch: 548/1875--D.loss:0.1155,G.loss:0.5577\n",
            "Epoch: 2/50-Batch: 549/1875--D.loss:0.1291,G.loss:0.5176\n",
            "Epoch: 2/50-Batch: 550/1875--D.loss:0.1353,G.loss:0.8498\n",
            "Epoch: 2/50-Batch: 551/1875--D.loss:0.1649,G.loss:0.3524\n",
            "Epoch: 2/50-Batch: 552/1875--D.loss:0.1224,G.loss:0.7029\n",
            "Epoch: 2/50-Batch: 553/1875--D.loss:0.1315,G.loss:0.5138\n",
            "Epoch: 2/50-Batch: 554/1875--D.loss:0.1143,G.loss:0.4848\n",
            "Epoch: 2/50-Batch: 555/1875--D.loss:0.1254,G.loss:1.0167\n",
            "Epoch: 2/50-Batch: 556/1875--D.loss:0.1618,G.loss:0.3374\n",
            "Epoch: 2/50-Batch: 557/1875--D.loss:0.0903,G.loss:0.4840\n",
            "Epoch: 2/50-Batch: 558/1875--D.loss:0.1538,G.loss:0.9856\n",
            "Epoch: 2/50-Batch: 559/1875--D.loss:0.1860,G.loss:0.2614\n",
            "Epoch: 2/50-Batch: 560/1875--D.loss:0.1473,G.loss:0.7318\n",
            "Epoch: 2/50-Batch: 561/1875--D.loss:0.1210,G.loss:0.5282\n",
            "Epoch: 2/50-Batch: 562/1875--D.loss:0.1481,G.loss:0.7342\n",
            "Epoch: 2/50-Batch: 563/1875--D.loss:0.1320,G.loss:0.3620\n",
            "Epoch: 2/50-Batch: 564/1875--D.loss:0.1094,G.loss:0.6928\n",
            "Epoch: 2/50-Batch: 565/1875--D.loss:0.1487,G.loss:0.3703\n",
            "Epoch: 2/50-Batch: 566/1875--D.loss:0.1402,G.loss:0.6244\n",
            "Epoch: 2/50-Batch: 567/1875--D.loss:0.1129,G.loss:0.6262\n",
            "Epoch: 2/50-Batch: 568/1875--D.loss:0.1012,G.loss:0.5477\n",
            "Epoch: 2/50-Batch: 569/1875--D.loss:0.1168,G.loss:0.5981\n",
            "Epoch: 2/50-Batch: 570/1875--D.loss:0.1092,G.loss:0.6346\n",
            "Epoch: 2/50-Batch: 571/1875--D.loss:0.1093,G.loss:0.5359\n",
            "Epoch: 2/50-Batch: 572/1875--D.loss:0.1254,G.loss:0.8510\n",
            "Epoch: 2/50-Batch: 573/1875--D.loss:0.1354,G.loss:0.3900\n",
            "Epoch: 2/50-Batch: 574/1875--D.loss:0.1263,G.loss:0.6109\n",
            "Epoch: 2/50-Batch: 575/1875--D.loss:0.1429,G.loss:0.6508\n",
            "Epoch: 2/50-Batch: 576/1875--D.loss:0.0919,G.loss:0.6219\n",
            "Epoch: 2/50-Batch: 577/1875--D.loss:0.1107,G.loss:0.5951\n",
            "Epoch: 2/50-Batch: 578/1875--D.loss:0.1595,G.loss:0.4343\n",
            "Epoch: 2/50-Batch: 579/1875--D.loss:0.1204,G.loss:0.7158\n",
            "Epoch: 2/50-Batch: 580/1875--D.loss:0.1417,G.loss:0.4559\n",
            "Epoch: 2/50-Batch: 581/1875--D.loss:0.1651,G.loss:0.8484\n",
            "Epoch: 2/50-Batch: 582/1875--D.loss:0.1107,G.loss:0.5439\n",
            "Epoch: 2/50-Batch: 583/1875--D.loss:0.1295,G.loss:0.4294\n",
            "Epoch: 2/50-Batch: 584/1875--D.loss:0.1451,G.loss:0.6181\n",
            "Epoch: 2/50-Batch: 585/1875--D.loss:0.1142,G.loss:0.4297\n",
            "Epoch: 2/50-Batch: 586/1875--D.loss:0.2421,G.loss:0.9095\n",
            "Epoch: 2/50-Batch: 587/1875--D.loss:0.2491,G.loss:0.1856\n",
            "Epoch: 2/50-Batch: 588/1875--D.loss:0.2906,G.loss:1.3149\n",
            "Epoch: 2/50-Batch: 589/1875--D.loss:0.2314,G.loss:0.1830\n",
            "Epoch: 2/50-Batch: 590/1875--D.loss:0.1324,G.loss:0.4616\n",
            "Epoch: 2/50-Batch: 591/1875--D.loss:0.1416,G.loss:0.7674\n",
            "Epoch: 2/50-Batch: 592/1875--D.loss:0.1064,G.loss:0.6581\n",
            "Epoch: 2/50-Batch: 593/1875--D.loss:0.1181,G.loss:0.5780\n",
            "Epoch: 2/50-Batch: 594/1875--D.loss:0.1043,G.loss:0.5563\n",
            "Epoch: 2/50-Batch: 595/1875--D.loss:0.1309,G.loss:0.7243\n",
            "Epoch: 2/50-Batch: 596/1875--D.loss:0.1268,G.loss:0.5059\n",
            "Epoch: 2/50-Batch: 597/1875--D.loss:0.1109,G.loss:0.5442\n",
            "Epoch: 2/50-Batch: 598/1875--D.loss:0.0817,G.loss:0.6134\n",
            "Epoch: 2/50-Batch: 599/1875--D.loss:0.1324,G.loss:0.5748\n",
            "Epoch: 2/50-Batch: 600/1875--D.loss:0.1081,G.loss:0.6089\n",
            "Epoch: 2/50-Batch: 601/1875--D.loss:0.0839,G.loss:0.6444\n",
            "Epoch: 2/50-Batch: 602/1875--D.loss:0.0964,G.loss:0.6951\n",
            "Epoch: 2/50-Batch: 603/1875--D.loss:0.1204,G.loss:0.5756\n",
            "Epoch: 2/50-Batch: 604/1875--D.loss:0.1349,G.loss:0.6102\n",
            "Epoch: 2/50-Batch: 605/1875--D.loss:0.1441,G.loss:0.4396\n",
            "Epoch: 2/50-Batch: 606/1875--D.loss:0.1111,G.loss:0.4669\n",
            "Epoch: 2/50-Batch: 607/1875--D.loss:0.1247,G.loss:0.7214\n",
            "Epoch: 2/50-Batch: 608/1875--D.loss:0.1303,G.loss:0.4850\n",
            "Epoch: 2/50-Batch: 609/1875--D.loss:0.0850,G.loss:0.6302\n",
            "Epoch: 2/50-Batch: 610/1875--D.loss:0.1405,G.loss:0.5149\n",
            "Epoch: 2/50-Batch: 611/1875--D.loss:0.1078,G.loss:0.6742\n",
            "Epoch: 2/50-Batch: 612/1875--D.loss:0.1183,G.loss:0.5886\n",
            "Epoch: 2/50-Batch: 613/1875--D.loss:0.1314,G.loss:0.6018\n",
            "Epoch: 2/50-Batch: 614/1875--D.loss:0.1132,G.loss:0.6775\n",
            "Epoch: 2/50-Batch: 615/1875--D.loss:0.1306,G.loss:0.7145\n",
            "Epoch: 2/50-Batch: 616/1875--D.loss:0.1327,G.loss:0.3605\n",
            "Epoch: 2/50-Batch: 617/1875--D.loss:0.2148,G.loss:0.8597\n",
            "Epoch: 2/50-Batch: 618/1875--D.loss:0.2353,G.loss:0.2318\n",
            "Epoch: 2/50-Batch: 619/1875--D.loss:0.1985,G.loss:0.7940\n",
            "Epoch: 2/50-Batch: 620/1875--D.loss:0.1298,G.loss:0.5217\n",
            "Epoch: 2/50-Batch: 621/1875--D.loss:0.0951,G.loss:0.4881\n",
            "Epoch: 2/50-Batch: 622/1875--D.loss:0.1228,G.loss:0.5516\n",
            "Epoch: 2/50-Batch: 623/1875--D.loss:0.1103,G.loss:0.6125\n",
            "Epoch: 2/50-Batch: 624/1875--D.loss:0.1466,G.loss:0.8112\n",
            "Epoch: 2/50-Batch: 625/1875--D.loss:0.1271,G.loss:0.4385\n",
            "Epoch: 2/50-Batch: 626/1875--D.loss:0.1390,G.loss:0.5115\n",
            "Epoch: 2/50-Batch: 627/1875--D.loss:0.1286,G.loss:0.7451\n",
            "Epoch: 2/50-Batch: 628/1875--D.loss:0.1309,G.loss:0.4535\n",
            "Epoch: 2/50-Batch: 629/1875--D.loss:0.1085,G.loss:0.5845\n",
            "Epoch: 2/50-Batch: 630/1875--D.loss:0.1175,G.loss:0.5227\n",
            "Epoch: 2/50-Batch: 631/1875--D.loss:0.1173,G.loss:0.6837\n",
            "Epoch: 2/50-Batch: 632/1875--D.loss:0.1227,G.loss:0.6163\n",
            "Epoch: 2/50-Batch: 633/1875--D.loss:0.1456,G.loss:0.6760\n",
            "Epoch: 2/50-Batch: 634/1875--D.loss:0.1394,G.loss:0.5465\n",
            "Epoch: 2/50-Batch: 635/1875--D.loss:0.1100,G.loss:0.4982\n",
            "Epoch: 2/50-Batch: 636/1875--D.loss:0.1373,G.loss:0.7318\n",
            "Epoch: 2/50-Batch: 637/1875--D.loss:0.1294,G.loss:0.3685\n",
            "Epoch: 2/50-Batch: 638/1875--D.loss:0.1082,G.loss:0.6237\n",
            "Epoch: 2/50-Batch: 639/1875--D.loss:0.1276,G.loss:0.5610\n",
            "Epoch: 2/50-Batch: 640/1875--D.loss:0.1284,G.loss:0.4559\n",
            "Epoch: 2/50-Batch: 641/1875--D.loss:0.1466,G.loss:0.8531\n",
            "Epoch: 2/50-Batch: 642/1875--D.loss:0.1121,G.loss:0.5096\n",
            "Epoch: 2/50-Batch: 643/1875--D.loss:0.0994,G.loss:0.5420\n",
            "Epoch: 2/50-Batch: 644/1875--D.loss:0.1262,G.loss:0.4514\n",
            "Epoch: 2/50-Batch: 645/1875--D.loss:0.1250,G.loss:0.6551\n",
            "Epoch: 2/50-Batch: 646/1875--D.loss:0.1364,G.loss:0.3669\n",
            "Epoch: 2/50-Batch: 647/1875--D.loss:0.1429,G.loss:0.7462\n",
            "Epoch: 2/50-Batch: 648/1875--D.loss:0.1200,G.loss:0.5702\n",
            "Epoch: 2/50-Batch: 649/1875--D.loss:0.1548,G.loss:0.3887\n",
            "Epoch: 2/50-Batch: 650/1875--D.loss:0.1359,G.loss:0.9661\n",
            "Epoch: 2/50-Batch: 651/1875--D.loss:0.1037,G.loss:0.4007\n",
            "Epoch: 2/50-Batch: 652/1875--D.loss:0.1141,G.loss:0.7701\n",
            "Epoch: 2/50-Batch: 653/1875--D.loss:0.1249,G.loss:0.5412\n",
            "Epoch: 2/50-Batch: 654/1875--D.loss:0.1106,G.loss:0.4833\n",
            "Epoch: 2/50-Batch: 655/1875--D.loss:0.1257,G.loss:0.8160\n",
            "Epoch: 2/50-Batch: 656/1875--D.loss:0.1032,G.loss:0.4999\n",
            "Epoch: 2/50-Batch: 657/1875--D.loss:0.1126,G.loss:0.7074\n",
            "Epoch: 2/50-Batch: 658/1875--D.loss:0.1249,G.loss:0.5551\n",
            "Epoch: 2/50-Batch: 659/1875--D.loss:0.1407,G.loss:0.6567\n",
            "Epoch: 2/50-Batch: 660/1875--D.loss:0.1702,G.loss:0.3860\n",
            "Epoch: 2/50-Batch: 661/1875--D.loss:0.1125,G.loss:0.7478\n",
            "Epoch: 2/50-Batch: 662/1875--D.loss:0.1841,G.loss:0.2975\n",
            "Epoch: 2/50-Batch: 663/1875--D.loss:0.1701,G.loss:0.7872\n",
            "Epoch: 2/50-Batch: 664/1875--D.loss:0.1419,G.loss:0.3312\n",
            "Epoch: 2/50-Batch: 665/1875--D.loss:0.1135,G.loss:0.6457\n",
            "Epoch: 2/50-Batch: 666/1875--D.loss:0.1259,G.loss:0.6817\n",
            "Epoch: 2/50-Batch: 667/1875--D.loss:0.1236,G.loss:0.3812\n",
            "Epoch: 2/50-Batch: 668/1875--D.loss:0.1142,G.loss:0.7935\n",
            "Epoch: 2/50-Batch: 669/1875--D.loss:0.1267,G.loss:0.4246\n",
            "Epoch: 2/50-Batch: 670/1875--D.loss:0.1263,G.loss:0.5335\n",
            "Epoch: 2/50-Batch: 671/1875--D.loss:0.1522,G.loss:0.5695\n",
            "Epoch: 2/50-Batch: 672/1875--D.loss:0.1115,G.loss:0.5318\n",
            "Epoch: 2/50-Batch: 673/1875--D.loss:0.1074,G.loss:0.8036\n",
            "Epoch: 2/50-Batch: 674/1875--D.loss:0.1180,G.loss:0.5534\n",
            "Epoch: 2/50-Batch: 675/1875--D.loss:0.1095,G.loss:0.8100\n",
            "Epoch: 2/50-Batch: 676/1875--D.loss:0.1428,G.loss:0.4773\n",
            "Epoch: 2/50-Batch: 677/1875--D.loss:0.1414,G.loss:0.7346\n",
            "Epoch: 2/50-Batch: 678/1875--D.loss:0.1373,G.loss:0.3266\n",
            "Epoch: 2/50-Batch: 679/1875--D.loss:0.1177,G.loss:0.8382\n",
            "Epoch: 2/50-Batch: 680/1875--D.loss:0.1549,G.loss:0.3791\n",
            "Epoch: 2/50-Batch: 681/1875--D.loss:0.1246,G.loss:0.5677\n",
            "Epoch: 2/50-Batch: 682/1875--D.loss:0.1497,G.loss:0.5164\n",
            "Epoch: 2/50-Batch: 683/1875--D.loss:0.1520,G.loss:0.7040\n",
            "Epoch: 2/50-Batch: 684/1875--D.loss:0.1476,G.loss:0.3931\n",
            "Epoch: 2/50-Batch: 685/1875--D.loss:0.1700,G.loss:0.9281\n",
            "Epoch: 2/50-Batch: 686/1875--D.loss:0.1805,G.loss:0.2805\n",
            "Epoch: 2/50-Batch: 687/1875--D.loss:0.1672,G.loss:1.1152\n",
            "Epoch: 2/50-Batch: 688/1875--D.loss:0.1761,G.loss:0.2784\n",
            "Epoch: 2/50-Batch: 689/1875--D.loss:0.1251,G.loss:0.5223\n",
            "Epoch: 2/50-Batch: 690/1875--D.loss:0.1447,G.loss:0.9180\n",
            "Epoch: 2/50-Batch: 691/1875--D.loss:0.1454,G.loss:0.5460\n",
            "Epoch: 2/50-Batch: 692/1875--D.loss:0.1647,G.loss:0.4443\n",
            "Epoch: 2/50-Batch: 693/1875--D.loss:0.1271,G.loss:0.5639\n",
            "Epoch: 2/50-Batch: 694/1875--D.loss:0.1218,G.loss:0.6660\n",
            "Epoch: 2/50-Batch: 695/1875--D.loss:0.1189,G.loss:0.5064\n",
            "Epoch: 2/50-Batch: 696/1875--D.loss:0.1712,G.loss:0.6464\n",
            "Epoch: 2/50-Batch: 697/1875--D.loss:0.1224,G.loss:0.4940\n",
            "Epoch: 2/50-Batch: 698/1875--D.loss:0.1180,G.loss:0.7436\n",
            "Epoch: 2/50-Batch: 699/1875--D.loss:0.1297,G.loss:0.4932\n",
            "Epoch: 2/50-Batch: 700/1875--D.loss:0.1134,G.loss:0.5486\n",
            "Epoch: 2/50-Batch: 701/1875--D.loss:0.1025,G.loss:0.6077\n",
            "Epoch: 2/50-Batch: 702/1875--D.loss:0.1274,G.loss:0.5377\n",
            "Epoch: 2/50-Batch: 703/1875--D.loss:0.1209,G.loss:0.5938\n",
            "Epoch: 2/50-Batch: 704/1875--D.loss:0.1289,G.loss:0.6106\n",
            "Epoch: 2/50-Batch: 705/1875--D.loss:0.1534,G.loss:0.5399\n",
            "Epoch: 2/50-Batch: 706/1875--D.loss:0.1416,G.loss:0.8103\n",
            "Epoch: 2/50-Batch: 707/1875--D.loss:0.1587,G.loss:0.2990\n",
            "Epoch: 2/50-Batch: 708/1875--D.loss:0.1531,G.loss:1.0671\n",
            "Epoch: 2/50-Batch: 709/1875--D.loss:0.1224,G.loss:0.4979\n",
            "Epoch: 2/50-Batch: 710/1875--D.loss:0.1346,G.loss:0.4668\n",
            "Epoch: 2/50-Batch: 711/1875--D.loss:0.1217,G.loss:0.7337\n",
            "Epoch: 2/50-Batch: 712/1875--D.loss:0.1276,G.loss:0.6706\n",
            "Epoch: 2/50-Batch: 713/1875--D.loss:0.1249,G.loss:0.4696\n",
            "Epoch: 2/50-Batch: 714/1875--D.loss:0.1461,G.loss:0.5029\n",
            "Epoch: 2/50-Batch: 715/1875--D.loss:0.0991,G.loss:0.5677\n",
            "Epoch: 2/50-Batch: 716/1875--D.loss:0.1300,G.loss:0.4910\n",
            "Epoch: 2/50-Batch: 717/1875--D.loss:0.1800,G.loss:1.0551\n",
            "Epoch: 2/50-Batch: 718/1875--D.loss:0.1524,G.loss:0.2905\n",
            "Epoch: 2/50-Batch: 719/1875--D.loss:0.1195,G.loss:0.6237\n",
            "Epoch: 2/50-Batch: 720/1875--D.loss:0.1312,G.loss:0.6578\n",
            "Epoch: 2/50-Batch: 721/1875--D.loss:0.1500,G.loss:0.4431\n",
            "Epoch: 2/50-Batch: 722/1875--D.loss:0.1592,G.loss:0.6023\n",
            "Epoch: 2/50-Batch: 723/1875--D.loss:0.1653,G.loss:0.5914\n",
            "Epoch: 2/50-Batch: 724/1875--D.loss:0.1135,G.loss:0.5624\n",
            "Epoch: 2/50-Batch: 725/1875--D.loss:0.1628,G.loss:0.6425\n",
            "Epoch: 2/50-Batch: 726/1875--D.loss:0.1520,G.loss:0.4097\n",
            "Epoch: 2/50-Batch: 727/1875--D.loss:0.1476,G.loss:0.5349\n",
            "Epoch: 2/50-Batch: 728/1875--D.loss:0.1446,G.loss:0.6993\n",
            "Epoch: 2/50-Batch: 729/1875--D.loss:0.1384,G.loss:0.3255\n",
            "Epoch: 2/50-Batch: 730/1875--D.loss:0.1349,G.loss:0.6698\n",
            "Epoch: 2/50-Batch: 731/1875--D.loss:0.1214,G.loss:0.5765\n",
            "Epoch: 2/50-Batch: 732/1875--D.loss:0.1274,G.loss:0.5859\n",
            "Epoch: 2/50-Batch: 733/1875--D.loss:0.1444,G.loss:0.4581\n",
            "Epoch: 2/50-Batch: 734/1875--D.loss:0.1308,G.loss:0.9309\n",
            "Epoch: 2/50-Batch: 735/1875--D.loss:0.1118,G.loss:0.4613\n",
            "Epoch: 2/50-Batch: 736/1875--D.loss:0.1109,G.loss:0.6055\n",
            "Epoch: 2/50-Batch: 737/1875--D.loss:0.1240,G.loss:0.7763\n",
            "Epoch: 2/50-Batch: 738/1875--D.loss:0.1454,G.loss:0.4229\n",
            "Epoch: 2/50-Batch: 739/1875--D.loss:0.1515,G.loss:0.7217\n",
            "Epoch: 2/50-Batch: 740/1875--D.loss:0.1323,G.loss:0.4336\n",
            "Epoch: 2/50-Batch: 741/1875--D.loss:0.1393,G.loss:0.5434\n",
            "Epoch: 2/50-Batch: 742/1875--D.loss:0.0934,G.loss:0.7179\n",
            "Epoch: 2/50-Batch: 743/1875--D.loss:0.1316,G.loss:0.4628\n",
            "Epoch: 2/50-Batch: 744/1875--D.loss:0.1338,G.loss:0.8414\n",
            "Epoch: 2/50-Batch: 745/1875--D.loss:0.2007,G.loss:0.2707\n",
            "Epoch: 2/50-Batch: 746/1875--D.loss:0.1691,G.loss:0.9255\n",
            "Epoch: 2/50-Batch: 747/1875--D.loss:0.2085,G.loss:0.2830\n",
            "Epoch: 2/50-Batch: 748/1875--D.loss:0.1529,G.loss:0.7396\n",
            "Epoch: 2/50-Batch: 749/1875--D.loss:0.1230,G.loss:0.5504\n",
            "Epoch: 2/50-Batch: 750/1875--D.loss:0.1385,G.loss:0.3345\n",
            "Epoch: 2/50-Batch: 751/1875--D.loss:0.1181,G.loss:0.5830\n",
            "Epoch: 2/50-Batch: 752/1875--D.loss:0.1492,G.loss:0.6949\n",
            "Epoch: 2/50-Batch: 753/1875--D.loss:0.1557,G.loss:0.3009\n",
            "Epoch: 2/50-Batch: 754/1875--D.loss:0.1156,G.loss:0.6827\n",
            "Epoch: 2/50-Batch: 755/1875--D.loss:0.1263,G.loss:0.5388\n",
            "Epoch: 2/50-Batch: 756/1875--D.loss:0.1652,G.loss:0.5693\n",
            "Epoch: 2/50-Batch: 757/1875--D.loss:0.1133,G.loss:0.5566\n",
            "Epoch: 2/50-Batch: 758/1875--D.loss:0.1601,G.loss:0.6364\n",
            "Epoch: 2/50-Batch: 759/1875--D.loss:0.1592,G.loss:0.3866\n",
            "Epoch: 2/50-Batch: 760/1875--D.loss:0.1283,G.loss:0.8037\n",
            "Epoch: 2/50-Batch: 761/1875--D.loss:0.1135,G.loss:0.5930\n",
            "Epoch: 2/50-Batch: 762/1875--D.loss:0.1462,G.loss:0.4767\n",
            "Epoch: 2/50-Batch: 763/1875--D.loss:0.1163,G.loss:0.6781\n",
            "Epoch: 2/50-Batch: 764/1875--D.loss:0.1516,G.loss:0.5826\n",
            "Epoch: 2/50-Batch: 765/1875--D.loss:0.1669,G.loss:0.3202\n",
            "Epoch: 2/50-Batch: 766/1875--D.loss:0.2335,G.loss:0.9173\n",
            "Epoch: 2/50-Batch: 767/1875--D.loss:0.2521,G.loss:0.1921\n",
            "Epoch: 2/50-Batch: 768/1875--D.loss:0.2289,G.loss:0.7279\n",
            "Epoch: 2/50-Batch: 769/1875--D.loss:0.1305,G.loss:0.5045\n",
            "Epoch: 2/50-Batch: 770/1875--D.loss:0.1896,G.loss:0.2866\n",
            "Epoch: 2/50-Batch: 771/1875--D.loss:0.1430,G.loss:0.5314\n",
            "Epoch: 2/50-Batch: 772/1875--D.loss:0.1523,G.loss:0.5991\n",
            "Epoch: 2/50-Batch: 773/1875--D.loss:0.1162,G.loss:0.5361\n",
            "Epoch: 2/50-Batch: 774/1875--D.loss:0.1266,G.loss:0.4503\n",
            "Epoch: 2/50-Batch: 775/1875--D.loss:0.1407,G.loss:0.5321\n",
            "Epoch: 2/50-Batch: 776/1875--D.loss:0.1507,G.loss:0.5077\n",
            "Epoch: 2/50-Batch: 777/1875--D.loss:0.1184,G.loss:0.6390\n",
            "Epoch: 2/50-Batch: 778/1875--D.loss:0.1155,G.loss:0.6017\n",
            "Epoch: 2/50-Batch: 779/1875--D.loss:0.1475,G.loss:0.4200\n",
            "Epoch: 2/50-Batch: 780/1875--D.loss:0.1545,G.loss:0.6569\n",
            "Epoch: 2/50-Batch: 781/1875--D.loss:0.1114,G.loss:0.5508\n",
            "Epoch: 2/50-Batch: 782/1875--D.loss:0.1025,G.loss:0.5219\n",
            "Epoch: 2/50-Batch: 783/1875--D.loss:0.1449,G.loss:0.6759\n",
            "Epoch: 2/50-Batch: 784/1875--D.loss:0.1401,G.loss:0.5075\n",
            "Epoch: 2/50-Batch: 785/1875--D.loss:0.1195,G.loss:0.4438\n",
            "Epoch: 2/50-Batch: 786/1875--D.loss:0.1337,G.loss:0.7620\n",
            "Epoch: 2/50-Batch: 787/1875--D.loss:0.1427,G.loss:0.5033\n",
            "Epoch: 2/50-Batch: 788/1875--D.loss:0.1470,G.loss:0.4748\n",
            "Epoch: 2/50-Batch: 789/1875--D.loss:0.1526,G.loss:0.6900\n",
            "Epoch: 2/50-Batch: 790/1875--D.loss:0.1871,G.loss:0.3136\n",
            "Epoch: 2/50-Batch: 791/1875--D.loss:0.1557,G.loss:0.8151\n",
            "Epoch: 2/50-Batch: 792/1875--D.loss:0.1391,G.loss:0.3848\n",
            "Epoch: 2/50-Batch: 793/1875--D.loss:0.1461,G.loss:0.6444\n",
            "Epoch: 2/50-Batch: 794/1875--D.loss:0.1645,G.loss:0.4808\n",
            "Epoch: 2/50-Batch: 795/1875--D.loss:0.1520,G.loss:0.6487\n",
            "Epoch: 2/50-Batch: 796/1875--D.loss:0.1414,G.loss:0.3945\n",
            "Epoch: 2/50-Batch: 797/1875--D.loss:0.1133,G.loss:0.6216\n",
            "Epoch: 2/50-Batch: 798/1875--D.loss:0.1101,G.loss:0.6143\n",
            "Epoch: 2/50-Batch: 799/1875--D.loss:0.1398,G.loss:0.4610\n",
            "Epoch: 2/50-Batch: 800/1875--D.loss:0.1228,G.loss:0.6661\n",
            "Epoch: 2/50-Batch: 801/1875--D.loss:0.1311,G.loss:0.4599\n",
            "Epoch: 2/50-Batch: 802/1875--D.loss:0.1277,G.loss:0.5391\n",
            "Epoch: 2/50-Batch: 803/1875--D.loss:0.1933,G.loss:0.7689\n",
            "Epoch: 2/50-Batch: 804/1875--D.loss:0.2118,G.loss:0.3042\n",
            "Epoch: 2/50-Batch: 805/1875--D.loss:0.1663,G.loss:1.0226\n",
            "Epoch: 2/50-Batch: 806/1875--D.loss:0.1788,G.loss:0.2731\n",
            "Epoch: 2/50-Batch: 807/1875--D.loss:0.1716,G.loss:0.9095\n",
            "Epoch: 2/50-Batch: 808/1875--D.loss:0.1548,G.loss:0.3495\n",
            "Epoch: 2/50-Batch: 809/1875--D.loss:0.1691,G.loss:0.3107\n",
            "Epoch: 2/50-Batch: 810/1875--D.loss:0.1583,G.loss:0.6759\n",
            "Epoch: 2/50-Batch: 811/1875--D.loss:0.1341,G.loss:0.5651\n",
            "Epoch: 2/50-Batch: 812/1875--D.loss:0.1239,G.loss:0.4255\n",
            "Epoch: 2/50-Batch: 813/1875--D.loss:0.1098,G.loss:0.5133\n",
            "Epoch: 2/50-Batch: 814/1875--D.loss:0.1829,G.loss:0.9031\n",
            "Epoch: 2/50-Batch: 815/1875--D.loss:0.1543,G.loss:0.2881\n",
            "Epoch: 2/50-Batch: 816/1875--D.loss:0.1320,G.loss:0.4384\n",
            "Epoch: 2/50-Batch: 817/1875--D.loss:0.1761,G.loss:0.6552\n",
            "Epoch: 2/50-Batch: 818/1875--D.loss:0.1608,G.loss:0.4078\n",
            "Epoch: 2/50-Batch: 819/1875--D.loss:0.1356,G.loss:0.5109\n",
            "Epoch: 2/50-Batch: 820/1875--D.loss:0.1253,G.loss:0.6628\n",
            "Epoch: 2/50-Batch: 821/1875--D.loss:0.0832,G.loss:0.5297\n",
            "Epoch: 2/50-Batch: 822/1875--D.loss:0.1496,G.loss:0.4913\n",
            "Epoch: 2/50-Batch: 823/1875--D.loss:0.1272,G.loss:0.7823\n",
            "Epoch: 2/50-Batch: 824/1875--D.loss:0.1472,G.loss:0.4891\n",
            "Epoch: 2/50-Batch: 825/1875--D.loss:0.1740,G.loss:0.3652\n",
            "Epoch: 2/50-Batch: 826/1875--D.loss:0.1499,G.loss:0.8849\n",
            "Epoch: 2/50-Batch: 827/1875--D.loss:0.1456,G.loss:0.4531\n",
            "Epoch: 2/50-Batch: 828/1875--D.loss:0.1305,G.loss:0.4797\n",
            "Epoch: 2/50-Batch: 829/1875--D.loss:0.1187,G.loss:0.8299\n",
            "Epoch: 2/50-Batch: 830/1875--D.loss:0.1148,G.loss:0.4026\n",
            "Epoch: 2/50-Batch: 831/1875--D.loss:0.1159,G.loss:0.5666\n",
            "Epoch: 2/50-Batch: 832/1875--D.loss:0.1545,G.loss:0.6954\n",
            "Epoch: 2/50-Batch: 833/1875--D.loss:0.1897,G.loss:0.3350\n",
            "Epoch: 2/50-Batch: 834/1875--D.loss:0.1602,G.loss:0.8028\n",
            "Epoch: 2/50-Batch: 835/1875--D.loss:0.1590,G.loss:0.4838\n",
            "Epoch: 2/50-Batch: 836/1875--D.loss:0.1130,G.loss:0.4780\n",
            "Epoch: 2/50-Batch: 837/1875--D.loss:0.1626,G.loss:0.5078\n",
            "Epoch: 2/50-Batch: 838/1875--D.loss:0.1375,G.loss:0.6932\n",
            "Epoch: 2/50-Batch: 839/1875--D.loss:0.1467,G.loss:0.4681\n",
            "Epoch: 2/50-Batch: 840/1875--D.loss:0.1303,G.loss:0.8492\n",
            "Epoch: 2/50-Batch: 841/1875--D.loss:0.1218,G.loss:0.3879\n",
            "Epoch: 2/50-Batch: 842/1875--D.loss:0.1267,G.loss:0.6795\n",
            "Epoch: 2/50-Batch: 843/1875--D.loss:0.0911,G.loss:0.5517\n",
            "Epoch: 2/50-Batch: 844/1875--D.loss:0.1026,G.loss:0.5472\n",
            "Epoch: 2/50-Batch: 845/1875--D.loss:0.1302,G.loss:0.6690\n",
            "Epoch: 2/50-Batch: 846/1875--D.loss:0.1489,G.loss:0.3306\n",
            "Epoch: 2/50-Batch: 847/1875--D.loss:0.1626,G.loss:0.8637\n",
            "Epoch: 2/50-Batch: 848/1875--D.loss:0.1816,G.loss:0.2172\n",
            "Epoch: 2/50-Batch: 849/1875--D.loss:0.1477,G.loss:0.7080\n",
            "Epoch: 2/50-Batch: 850/1875--D.loss:0.1296,G.loss:0.5798\n",
            "Epoch: 2/50-Batch: 851/1875--D.loss:0.1616,G.loss:0.4498\n",
            "Epoch: 2/50-Batch: 852/1875--D.loss:0.1306,G.loss:0.6339\n",
            "Epoch: 2/50-Batch: 853/1875--D.loss:0.1273,G.loss:0.6099\n",
            "Epoch: 2/50-Batch: 854/1875--D.loss:0.1135,G.loss:0.5501\n",
            "Epoch: 2/50-Batch: 855/1875--D.loss:0.1543,G.loss:0.4328\n",
            "Epoch: 2/50-Batch: 856/1875--D.loss:0.1623,G.loss:0.6647\n",
            "Epoch: 2/50-Batch: 857/1875--D.loss:0.1161,G.loss:0.6394\n",
            "Epoch: 2/50-Batch: 858/1875--D.loss:0.1594,G.loss:0.4214\n",
            "Epoch: 2/50-Batch: 859/1875--D.loss:0.1568,G.loss:0.8184\n",
            "Epoch: 2/50-Batch: 860/1875--D.loss:0.1682,G.loss:0.2434\n",
            "Epoch: 2/50-Batch: 861/1875--D.loss:0.1746,G.loss:0.9680\n",
            "Epoch: 2/50-Batch: 862/1875--D.loss:0.1359,G.loss:0.5434\n",
            "Epoch: 2/50-Batch: 863/1875--D.loss:0.1563,G.loss:0.2945\n",
            "Epoch: 2/50-Batch: 864/1875--D.loss:0.1015,G.loss:0.6918\n",
            "Epoch: 2/50-Batch: 865/1875--D.loss:0.1057,G.loss:0.5685\n",
            "Epoch: 2/50-Batch: 866/1875--D.loss:0.1369,G.loss:0.6330\n",
            "Epoch: 2/50-Batch: 867/1875--D.loss:0.1023,G.loss:0.4678\n",
            "Epoch: 2/50-Batch: 868/1875--D.loss:0.1063,G.loss:0.5452\n",
            "Epoch: 2/50-Batch: 869/1875--D.loss:0.1417,G.loss:0.7425\n",
            "Epoch: 2/50-Batch: 870/1875--D.loss:0.1427,G.loss:0.3127\n",
            "Epoch: 2/50-Batch: 871/1875--D.loss:0.1437,G.loss:0.5740\n",
            "Epoch: 2/50-Batch: 872/1875--D.loss:0.1060,G.loss:0.7112\n",
            "Epoch: 2/50-Batch: 873/1875--D.loss:0.1609,G.loss:0.4012\n",
            "Epoch: 2/50-Batch: 874/1875--D.loss:0.1465,G.loss:0.8428\n",
            "Epoch: 2/50-Batch: 875/1875--D.loss:0.1180,G.loss:0.5726\n",
            "Epoch: 2/50-Batch: 876/1875--D.loss:0.1229,G.loss:0.4835\n",
            "Epoch: 2/50-Batch: 877/1875--D.loss:0.1388,G.loss:0.8111\n",
            "Epoch: 2/50-Batch: 878/1875--D.loss:0.1565,G.loss:0.3291\n",
            "Epoch: 2/50-Batch: 879/1875--D.loss:0.1535,G.loss:0.8140\n",
            "Epoch: 2/50-Batch: 880/1875--D.loss:0.1359,G.loss:0.5431\n",
            "Epoch: 2/50-Batch: 881/1875--D.loss:0.1303,G.loss:0.4143\n",
            "Epoch: 2/50-Batch: 882/1875--D.loss:0.1112,G.loss:0.5518\n",
            "Epoch: 2/50-Batch: 883/1875--D.loss:0.1419,G.loss:0.7306\n",
            "Epoch: 2/50-Batch: 884/1875--D.loss:0.1504,G.loss:0.3668\n",
            "Epoch: 2/50-Batch: 885/1875--D.loss:0.1736,G.loss:0.6680\n",
            "Epoch: 2/50-Batch: 886/1875--D.loss:0.1093,G.loss:0.5710\n",
            "Epoch: 2/50-Batch: 887/1875--D.loss:0.1217,G.loss:0.6685\n",
            "Epoch: 2/50-Batch: 888/1875--D.loss:0.1081,G.loss:0.7243\n",
            "Epoch: 2/50-Batch: 889/1875--D.loss:0.1680,G.loss:0.3163\n",
            "Epoch: 2/50-Batch: 890/1875--D.loss:0.2333,G.loss:0.9452\n",
            "Epoch: 2/50-Batch: 891/1875--D.loss:0.2439,G.loss:0.1688\n",
            "Epoch: 2/50-Batch: 892/1875--D.loss:0.1265,G.loss:0.5572\n",
            "Epoch: 2/50-Batch: 893/1875--D.loss:0.1553,G.loss:0.7069\n",
            "Epoch: 2/50-Batch: 894/1875--D.loss:0.1729,G.loss:0.4392\n",
            "Epoch: 2/50-Batch: 895/1875--D.loss:0.1764,G.loss:0.3552\n",
            "Epoch: 2/50-Batch: 896/1875--D.loss:0.1666,G.loss:0.6355\n",
            "Epoch: 2/50-Batch: 897/1875--D.loss:0.1615,G.loss:0.3636\n",
            "Epoch: 2/50-Batch: 898/1875--D.loss:0.1495,G.loss:0.5644\n",
            "Epoch: 2/50-Batch: 899/1875--D.loss:0.1271,G.loss:0.6413\n",
            "Epoch: 2/50-Batch: 900/1875--D.loss:0.1306,G.loss:0.4529\n",
            "Epoch: 2/50-Batch: 901/1875--D.loss:0.1535,G.loss:0.6429\n",
            "Epoch: 2/50-Batch: 902/1875--D.loss:0.1457,G.loss:0.3973\n",
            "Epoch: 2/50-Batch: 903/1875--D.loss:0.1177,G.loss:0.6984\n",
            "Epoch: 2/50-Batch: 904/1875--D.loss:0.1327,G.loss:0.6475\n",
            "Epoch: 2/50-Batch: 905/1875--D.loss:0.1279,G.loss:0.4728\n",
            "Epoch: 2/50-Batch: 906/1875--D.loss:0.1404,G.loss:0.8721\n",
            "Epoch: 2/50-Batch: 907/1875--D.loss:0.1573,G.loss:0.3629\n",
            "Epoch: 2/50-Batch: 908/1875--D.loss:0.1526,G.loss:0.6590\n",
            "Epoch: 2/50-Batch: 909/1875--D.loss:0.1449,G.loss:0.5662\n",
            "Epoch: 2/50-Batch: 910/1875--D.loss:0.1561,G.loss:0.4334\n",
            "Epoch: 2/50-Batch: 911/1875--D.loss:0.1251,G.loss:0.5919\n",
            "Epoch: 2/50-Batch: 912/1875--D.loss:0.1438,G.loss:0.6442\n",
            "Epoch: 2/50-Batch: 913/1875--D.loss:0.1355,G.loss:0.3715\n",
            "Epoch: 2/50-Batch: 914/1875--D.loss:0.1136,G.loss:0.7117\n",
            "Epoch: 2/50-Batch: 915/1875--D.loss:0.1659,G.loss:0.6091\n",
            "Epoch: 2/50-Batch: 916/1875--D.loss:0.1659,G.loss:0.3474\n",
            "Epoch: 2/50-Batch: 917/1875--D.loss:0.1756,G.loss:0.6943\n",
            "Epoch: 2/50-Batch: 918/1875--D.loss:0.1499,G.loss:0.4374\n",
            "Epoch: 2/50-Batch: 919/1875--D.loss:0.1113,G.loss:0.5802\n",
            "Epoch: 2/50-Batch: 920/1875--D.loss:0.0959,G.loss:0.7558\n",
            "Epoch: 2/50-Batch: 921/1875--D.loss:0.1654,G.loss:0.5605\n",
            "Epoch: 2/50-Batch: 922/1875--D.loss:0.1110,G.loss:0.4480\n",
            "Epoch: 2/50-Batch: 923/1875--D.loss:0.0923,G.loss:0.6368\n",
            "Epoch: 2/50-Batch: 924/1875--D.loss:0.1198,G.loss:0.5935\n",
            "Epoch: 2/50-Batch: 925/1875--D.loss:0.1325,G.loss:0.5022\n",
            "Epoch: 2/50-Batch: 926/1875--D.loss:0.1923,G.loss:1.1081\n",
            "Epoch: 2/50-Batch: 927/1875--D.loss:0.2096,G.loss:0.2578\n",
            "Epoch: 2/50-Batch: 928/1875--D.loss:0.1387,G.loss:0.6901\n",
            "Epoch: 2/50-Batch: 929/1875--D.loss:0.1336,G.loss:0.8874\n",
            "Epoch: 2/50-Batch: 930/1875--D.loss:0.1625,G.loss:0.3478\n",
            "Epoch: 2/50-Batch: 931/1875--D.loss:0.1427,G.loss:0.7174\n",
            "Epoch: 2/50-Batch: 932/1875--D.loss:0.1191,G.loss:0.5504\n",
            "Epoch: 2/50-Batch: 933/1875--D.loss:0.1415,G.loss:0.4556\n",
            "Epoch: 2/50-Batch: 934/1875--D.loss:0.1268,G.loss:0.4642\n",
            "Epoch: 2/50-Batch: 935/1875--D.loss:0.0950,G.loss:0.5446\n",
            "Epoch: 2/50-Batch: 936/1875--D.loss:0.1471,G.loss:0.8062\n",
            "Epoch: 2/50-Batch: 937/1875--D.loss:0.1972,G.loss:0.2809\n",
            "Epoch: 2/50-Batch: 938/1875--D.loss:0.1660,G.loss:0.8418\n",
            "Epoch: 2/50-Batch: 939/1875--D.loss:0.1405,G.loss:0.4184\n",
            "Epoch: 2/50-Batch: 940/1875--D.loss:0.1508,G.loss:0.4017\n",
            "Epoch: 2/50-Batch: 941/1875--D.loss:0.1187,G.loss:0.7696\n",
            "Epoch: 2/50-Batch: 942/1875--D.loss:0.1144,G.loss:0.5704\n",
            "Epoch: 2/50-Batch: 943/1875--D.loss:0.1061,G.loss:0.4695\n",
            "Epoch: 2/50-Batch: 944/1875--D.loss:0.1428,G.loss:0.6327\n",
            "Epoch: 2/50-Batch: 945/1875--D.loss:0.1231,G.loss:0.6186\n",
            "Epoch: 2/50-Batch: 946/1875--D.loss:0.1257,G.loss:0.3814\n",
            "Epoch: 2/50-Batch: 947/1875--D.loss:0.0879,G.loss:0.5480\n",
            "Epoch: 2/50-Batch: 948/1875--D.loss:0.1500,G.loss:0.9457\n",
            "Epoch: 2/50-Batch: 949/1875--D.loss:0.1400,G.loss:0.3949\n",
            "Epoch: 2/50-Batch: 950/1875--D.loss:0.1569,G.loss:0.6696\n",
            "Epoch: 2/50-Batch: 951/1875--D.loss:0.1218,G.loss:0.4147\n",
            "Epoch: 2/50-Batch: 952/1875--D.loss:0.1086,G.loss:0.5237\n",
            "Epoch: 2/50-Batch: 953/1875--D.loss:0.0935,G.loss:0.6645\n",
            "Epoch: 2/50-Batch: 954/1875--D.loss:0.1535,G.loss:0.4805\n",
            "Epoch: 2/50-Batch: 955/1875--D.loss:0.0877,G.loss:0.5241\n",
            "Epoch: 2/50-Batch: 956/1875--D.loss:0.1184,G.loss:0.6747\n",
            "Epoch: 2/50-Batch: 957/1875--D.loss:0.1144,G.loss:0.4995\n",
            "Epoch: 2/50-Batch: 958/1875--D.loss:0.1107,G.loss:0.5332\n",
            "Epoch: 2/50-Batch: 959/1875--D.loss:0.1162,G.loss:0.5157\n",
            "Epoch: 2/50-Batch: 960/1875--D.loss:0.1347,G.loss:0.7367\n",
            "Epoch: 2/50-Batch: 961/1875--D.loss:0.1463,G.loss:0.3700\n",
            "Epoch: 2/50-Batch: 962/1875--D.loss:0.1626,G.loss:0.7609\n",
            "Epoch: 2/50-Batch: 963/1875--D.loss:0.1382,G.loss:0.4001\n",
            "Epoch: 2/50-Batch: 964/1875--D.loss:0.1247,G.loss:0.6563\n",
            "Epoch: 2/50-Batch: 965/1875--D.loss:0.1195,G.loss:0.5971\n",
            "Epoch: 2/50-Batch: 966/1875--D.loss:0.1335,G.loss:0.5027\n",
            "Epoch: 2/50-Batch: 967/1875--D.loss:0.1477,G.loss:0.5102\n",
            "Epoch: 2/50-Batch: 968/1875--D.loss:0.1222,G.loss:0.5474\n",
            "Epoch: 2/50-Batch: 969/1875--D.loss:0.1228,G.loss:0.7748\n",
            "Epoch: 2/50-Batch: 970/1875--D.loss:0.1590,G.loss:0.3784\n",
            "Epoch: 2/50-Batch: 971/1875--D.loss:0.1932,G.loss:0.9042\n",
            "Epoch: 2/50-Batch: 972/1875--D.loss:0.2124,G.loss:0.2529\n",
            "Epoch: 2/50-Batch: 973/1875--D.loss:0.1840,G.loss:0.9143\n",
            "Epoch: 2/50-Batch: 974/1875--D.loss:0.1143,G.loss:0.6566\n",
            "Epoch: 2/50-Batch: 975/1875--D.loss:0.1537,G.loss:0.4246\n",
            "Epoch: 2/50-Batch: 976/1875--D.loss:0.1655,G.loss:0.4165\n",
            "Epoch: 2/50-Batch: 977/1875--D.loss:0.1345,G.loss:0.4908\n",
            "Epoch: 2/50-Batch: 978/1875--D.loss:0.1393,G.loss:0.5761\n",
            "Epoch: 2/50-Batch: 979/1875--D.loss:0.1097,G.loss:0.6316\n",
            "Epoch: 2/50-Batch: 980/1875--D.loss:0.1254,G.loss:0.3959\n",
            "Epoch: 2/50-Batch: 981/1875--D.loss:0.1246,G.loss:0.6740\n",
            "Epoch: 2/50-Batch: 982/1875--D.loss:0.1443,G.loss:0.5069\n",
            "Epoch: 2/50-Batch: 983/1875--D.loss:0.1000,G.loss:0.7379\n",
            "Epoch: 2/50-Batch: 984/1875--D.loss:0.1643,G.loss:0.5462\n",
            "Epoch: 2/50-Batch: 985/1875--D.loss:0.1450,G.loss:0.2980\n",
            "Epoch: 2/50-Batch: 986/1875--D.loss:0.1317,G.loss:0.6041\n",
            "Epoch: 2/50-Batch: 987/1875--D.loss:0.1339,G.loss:0.6847\n",
            "Epoch: 2/50-Batch: 988/1875--D.loss:0.1273,G.loss:0.4725\n",
            "Epoch: 2/50-Batch: 989/1875--D.loss:0.1316,G.loss:0.5760\n",
            "Epoch: 2/50-Batch: 990/1875--D.loss:0.1276,G.loss:0.5899\n",
            "Epoch: 2/50-Batch: 991/1875--D.loss:0.1442,G.loss:0.5352\n",
            "Epoch: 2/50-Batch: 992/1875--D.loss:0.1295,G.loss:0.6939\n",
            "Epoch: 2/50-Batch: 993/1875--D.loss:0.1245,G.loss:0.6224\n",
            "Epoch: 2/50-Batch: 994/1875--D.loss:0.1187,G.loss:0.8004\n",
            "Epoch: 2/50-Batch: 995/1875--D.loss:0.1754,G.loss:0.3256\n",
            "Epoch: 2/50-Batch: 996/1875--D.loss:0.1617,G.loss:0.6225\n",
            "Epoch: 2/50-Batch: 997/1875--D.loss:0.1374,G.loss:0.7938\n",
            "Epoch: 2/50-Batch: 998/1875--D.loss:0.1911,G.loss:0.3568\n",
            "Epoch: 2/50-Batch: 999/1875--D.loss:0.1666,G.loss:0.5583\n",
            "Epoch: 2/50-Batch: 1000/1875--D.loss:0.1737,G.loss:0.3521\n",
            "Epoch: 2/50-Batch: 1001/1875--D.loss:0.1148,G.loss:0.6759\n",
            "Epoch: 2/50-Batch: 1002/1875--D.loss:0.1367,G.loss:0.6025\n",
            "Epoch: 2/50-Batch: 1003/1875--D.loss:0.1240,G.loss:0.5102\n",
            "Epoch: 2/50-Batch: 1004/1875--D.loss:0.1622,G.loss:0.5725\n",
            "Epoch: 2/50-Batch: 1005/1875--D.loss:0.0966,G.loss:0.5390\n",
            "Epoch: 2/50-Batch: 1006/1875--D.loss:0.1510,G.loss:0.5356\n",
            "Epoch: 2/50-Batch: 1007/1875--D.loss:0.1403,G.loss:0.5170\n",
            "Epoch: 2/50-Batch: 1008/1875--D.loss:0.1147,G.loss:0.5794\n",
            "Epoch: 2/50-Batch: 1009/1875--D.loss:0.1426,G.loss:0.4885\n",
            "Epoch: 2/50-Batch: 1010/1875--D.loss:0.1428,G.loss:0.9444\n",
            "Epoch: 2/50-Batch: 1011/1875--D.loss:0.1598,G.loss:0.4304\n",
            "Epoch: 2/50-Batch: 1012/1875--D.loss:0.1080,G.loss:0.5160\n",
            "Epoch: 2/50-Batch: 1013/1875--D.loss:0.1533,G.loss:0.7831\n",
            "Epoch: 2/50-Batch: 1014/1875--D.loss:0.1461,G.loss:0.3125\n",
            "Epoch: 2/50-Batch: 1015/1875--D.loss:0.1382,G.loss:0.9306\n",
            "Epoch: 2/50-Batch: 1016/1875--D.loss:0.1375,G.loss:0.4035\n",
            "Epoch: 2/50-Batch: 1017/1875--D.loss:0.1290,G.loss:0.5569\n",
            "Epoch: 2/50-Batch: 1018/1875--D.loss:0.1629,G.loss:0.4887\n",
            "Epoch: 2/50-Batch: 1019/1875--D.loss:0.1215,G.loss:0.6509\n",
            "Epoch: 2/50-Batch: 1020/1875--D.loss:0.2024,G.loss:0.2550\n",
            "Epoch: 2/50-Batch: 1021/1875--D.loss:0.2089,G.loss:0.8532\n",
            "Epoch: 2/50-Batch: 1022/1875--D.loss:0.1638,G.loss:0.3016\n",
            "Epoch: 2/50-Batch: 1023/1875--D.loss:0.1284,G.loss:0.5664\n",
            "Epoch: 2/50-Batch: 1024/1875--D.loss:0.1044,G.loss:0.6869\n",
            "Epoch: 2/50-Batch: 1025/1875--D.loss:0.1324,G.loss:0.6428\n",
            "Epoch: 2/50-Batch: 1026/1875--D.loss:0.1108,G.loss:0.6084\n",
            "Epoch: 2/50-Batch: 1027/1875--D.loss:0.1011,G.loss:0.5643\n",
            "Epoch: 2/50-Batch: 1028/1875--D.loss:0.1370,G.loss:0.5282\n",
            "Epoch: 2/50-Batch: 1029/1875--D.loss:0.1283,G.loss:0.4593\n",
            "Epoch: 2/50-Batch: 1030/1875--D.loss:0.1676,G.loss:0.7951\n",
            "Epoch: 2/50-Batch: 1031/1875--D.loss:0.1516,G.loss:0.3457\n",
            "Epoch: 2/50-Batch: 1032/1875--D.loss:0.1318,G.loss:0.7230\n",
            "Epoch: 2/50-Batch: 1033/1875--D.loss:0.1226,G.loss:0.5170\n",
            "Epoch: 2/50-Batch: 1034/1875--D.loss:0.0913,G.loss:0.5892\n",
            "Epoch: 2/50-Batch: 1035/1875--D.loss:0.1167,G.loss:0.6037\n",
            "Epoch: 2/50-Batch: 1036/1875--D.loss:0.1388,G.loss:0.5464\n",
            "Epoch: 2/50-Batch: 1037/1875--D.loss:0.1418,G.loss:0.7591\n",
            "Epoch: 2/50-Batch: 1038/1875--D.loss:0.1256,G.loss:0.4150\n",
            "Epoch: 2/50-Batch: 1039/1875--D.loss:0.0960,G.loss:0.7096\n",
            "Epoch: 2/50-Batch: 1040/1875--D.loss:0.1053,G.loss:0.6407\n",
            "Epoch: 2/50-Batch: 1041/1875--D.loss:0.0989,G.loss:0.6292\n",
            "Epoch: 2/50-Batch: 1042/1875--D.loss:0.1364,G.loss:0.7298\n",
            "Epoch: 2/50-Batch: 1043/1875--D.loss:0.2293,G.loss:0.2453\n",
            "Epoch: 2/50-Batch: 1044/1875--D.loss:0.1922,G.loss:1.0341\n",
            "Epoch: 2/50-Batch: 1045/1875--D.loss:0.1574,G.loss:0.2957\n",
            "Epoch: 2/50-Batch: 1046/1875--D.loss:0.1333,G.loss:0.4872\n",
            "Epoch: 2/50-Batch: 1047/1875--D.loss:0.1274,G.loss:0.6167\n",
            "Epoch: 2/50-Batch: 1048/1875--D.loss:0.0813,G.loss:0.5598\n",
            "Epoch: 2/50-Batch: 1049/1875--D.loss:0.1311,G.loss:0.5866\n",
            "Epoch: 2/50-Batch: 1050/1875--D.loss:0.1086,G.loss:0.6090\n",
            "Epoch: 2/50-Batch: 1051/1875--D.loss:0.1423,G.loss:0.5693\n",
            "Epoch: 2/50-Batch: 1052/1875--D.loss:0.1121,G.loss:0.8645\n",
            "Epoch: 2/50-Batch: 1053/1875--D.loss:0.0928,G.loss:0.5159\n",
            "Epoch: 2/50-Batch: 1054/1875--D.loss:0.1047,G.loss:0.8174\n",
            "Epoch: 2/50-Batch: 1055/1875--D.loss:0.1329,G.loss:0.4012\n",
            "Epoch: 2/50-Batch: 1056/1875--D.loss:0.1250,G.loss:0.6497\n",
            "Epoch: 2/50-Batch: 1057/1875--D.loss:0.1235,G.loss:0.5955\n",
            "Epoch: 2/50-Batch: 1058/1875--D.loss:0.1095,G.loss:0.6132\n",
            "Epoch: 2/50-Batch: 1059/1875--D.loss:0.1264,G.loss:0.6534\n",
            "Epoch: 2/50-Batch: 1060/1875--D.loss:0.1112,G.loss:0.5289\n",
            "Epoch: 2/50-Batch: 1061/1875--D.loss:0.1352,G.loss:0.6519\n",
            "Epoch: 2/50-Batch: 1062/1875--D.loss:0.1554,G.loss:0.5248\n",
            "Epoch: 2/50-Batch: 1063/1875--D.loss:0.1440,G.loss:0.5104\n",
            "Epoch: 2/50-Batch: 1064/1875--D.loss:0.2573,G.loss:1.0462\n",
            "Epoch: 2/50-Batch: 1065/1875--D.loss:0.3584,G.loss:0.1181\n",
            "Epoch: 2/50-Batch: 1066/1875--D.loss:0.2392,G.loss:1.0854\n",
            "Epoch: 2/50-Batch: 1067/1875--D.loss:0.1398,G.loss:0.3920\n",
            "Epoch: 2/50-Batch: 1068/1875--D.loss:0.1381,G.loss:0.3496\n",
            "Epoch: 2/50-Batch: 1069/1875--D.loss:0.1563,G.loss:0.5528\n",
            "Epoch: 2/50-Batch: 1070/1875--D.loss:0.1305,G.loss:0.5235\n",
            "Epoch: 2/50-Batch: 1071/1875--D.loss:0.1476,G.loss:0.6099\n",
            "Epoch: 2/50-Batch: 1072/1875--D.loss:0.1451,G.loss:0.5197\n",
            "Epoch: 2/50-Batch: 1073/1875--D.loss:0.1204,G.loss:0.5179\n",
            "Epoch: 2/50-Batch: 1074/1875--D.loss:0.1421,G.loss:0.5937\n",
            "Epoch: 2/50-Batch: 1075/1875--D.loss:0.1371,G.loss:0.4825\n",
            "Epoch: 2/50-Batch: 1076/1875--D.loss:0.1205,G.loss:0.5199\n",
            "Epoch: 2/50-Batch: 1077/1875--D.loss:0.1285,G.loss:0.4784\n",
            "Epoch: 2/50-Batch: 1078/1875--D.loss:0.1181,G.loss:0.5149\n",
            "Epoch: 2/50-Batch: 1079/1875--D.loss:0.1124,G.loss:0.4370\n",
            "Epoch: 2/50-Batch: 1080/1875--D.loss:0.1078,G.loss:0.6804\n",
            "Epoch: 2/50-Batch: 1081/1875--D.loss:0.1173,G.loss:0.6531\n",
            "Epoch: 2/50-Batch: 1082/1875--D.loss:0.1400,G.loss:0.4536\n",
            "Epoch: 2/50-Batch: 1083/1875--D.loss:0.1312,G.loss:0.4585\n",
            "Epoch: 2/50-Batch: 1084/1875--D.loss:0.1295,G.loss:0.6857\n",
            "Epoch: 2/50-Batch: 1085/1875--D.loss:0.1604,G.loss:0.6608\n",
            "Epoch: 2/50-Batch: 1086/1875--D.loss:0.1377,G.loss:0.4259\n",
            "Epoch: 2/50-Batch: 1087/1875--D.loss:0.1397,G.loss:0.5626\n",
            "Epoch: 2/50-Batch: 1088/1875--D.loss:0.1491,G.loss:0.4185\n",
            "Epoch: 2/50-Batch: 1089/1875--D.loss:0.1312,G.loss:0.3847\n",
            "Epoch: 2/50-Batch: 1090/1875--D.loss:0.1535,G.loss:0.7648\n",
            "Epoch: 2/50-Batch: 1091/1875--D.loss:0.1522,G.loss:0.3013\n",
            "Epoch: 2/50-Batch: 1092/1875--D.loss:0.1239,G.loss:0.6847\n",
            "Epoch: 2/50-Batch: 1093/1875--D.loss:0.1688,G.loss:0.6334\n",
            "Epoch: 2/50-Batch: 1094/1875--D.loss:0.1722,G.loss:0.3345\n",
            "Epoch: 2/50-Batch: 1095/1875--D.loss:0.1484,G.loss:0.6470\n",
            "Epoch: 2/50-Batch: 1096/1875--D.loss:0.1271,G.loss:0.6311\n",
            "Epoch: 2/50-Batch: 1097/1875--D.loss:0.1307,G.loss:0.4787\n",
            "Epoch: 2/50-Batch: 1098/1875--D.loss:0.1509,G.loss:0.6967\n",
            "Epoch: 2/50-Batch: 1099/1875--D.loss:0.1656,G.loss:0.4459\n",
            "Epoch: 2/50-Batch: 1100/1875--D.loss:0.1631,G.loss:0.5382\n",
            "Epoch: 2/50-Batch: 1101/1875--D.loss:0.1579,G.loss:0.5062\n",
            "Epoch: 2/50-Batch: 1102/1875--D.loss:0.1468,G.loss:0.2981\n",
            "Epoch: 2/50-Batch: 1103/1875--D.loss:0.1635,G.loss:0.8801\n",
            "Epoch: 2/50-Batch: 1104/1875--D.loss:0.1755,G.loss:0.4218\n",
            "Epoch: 2/50-Batch: 1105/1875--D.loss:0.1610,G.loss:0.6352\n",
            "Epoch: 2/50-Batch: 1106/1875--D.loss:0.1491,G.loss:0.3132\n",
            "Epoch: 2/50-Batch: 1107/1875--D.loss:0.1727,G.loss:0.7303\n",
            "Epoch: 2/50-Batch: 1108/1875--D.loss:0.1482,G.loss:0.3861\n",
            "Epoch: 2/50-Batch: 1109/1875--D.loss:0.1344,G.loss:0.5157\n",
            "Epoch: 2/50-Batch: 1110/1875--D.loss:0.1332,G.loss:0.5923\n",
            "Epoch: 2/50-Batch: 1111/1875--D.loss:0.1188,G.loss:0.4106\n",
            "Epoch: 2/50-Batch: 1112/1875--D.loss:0.1376,G.loss:0.7479\n",
            "Epoch: 2/50-Batch: 1113/1875--D.loss:0.0987,G.loss:0.7554\n",
            "Epoch: 2/50-Batch: 1114/1875--D.loss:0.1368,G.loss:0.3891\n",
            "Epoch: 2/50-Batch: 1115/1875--D.loss:0.1454,G.loss:0.6870\n",
            "Epoch: 2/50-Batch: 1116/1875--D.loss:0.1284,G.loss:0.4853\n",
            "Epoch: 2/50-Batch: 1117/1875--D.loss:0.1529,G.loss:0.5487\n",
            "Epoch: 2/50-Batch: 1118/1875--D.loss:0.1482,G.loss:0.5135\n",
            "Epoch: 2/50-Batch: 1119/1875--D.loss:0.1908,G.loss:0.4124\n",
            "Epoch: 2/50-Batch: 1120/1875--D.loss:0.1595,G.loss:0.5525\n",
            "Epoch: 2/50-Batch: 1121/1875--D.loss:0.1443,G.loss:0.4590\n",
            "Epoch: 2/50-Batch: 1122/1875--D.loss:0.1439,G.loss:0.6019\n",
            "Epoch: 2/50-Batch: 1123/1875--D.loss:0.1393,G.loss:0.4924\n",
            "Epoch: 2/50-Batch: 1124/1875--D.loss:0.1620,G.loss:0.3555\n",
            "Epoch: 2/50-Batch: 1125/1875--D.loss:0.1538,G.loss:0.6866\n",
            "Epoch: 2/50-Batch: 1126/1875--D.loss:0.1631,G.loss:0.4953\n",
            "Epoch: 2/50-Batch: 1127/1875--D.loss:0.1225,G.loss:0.3516\n",
            "Epoch: 2/50-Batch: 1128/1875--D.loss:0.1801,G.loss:1.0490\n",
            "Epoch: 2/50-Batch: 1129/1875--D.loss:0.2100,G.loss:0.2383\n",
            "Epoch: 2/50-Batch: 1130/1875--D.loss:0.1328,G.loss:0.5028\n",
            "Epoch: 2/50-Batch: 1131/1875--D.loss:0.1420,G.loss:0.7133\n",
            "Epoch: 2/50-Batch: 1132/1875--D.loss:0.1624,G.loss:0.4093\n",
            "Epoch: 2/50-Batch: 1133/1875--D.loss:0.1335,G.loss:0.5593\n",
            "Epoch: 2/50-Batch: 1134/1875--D.loss:0.1269,G.loss:0.5330\n",
            "Epoch: 2/50-Batch: 1135/1875--D.loss:0.1464,G.loss:0.5372\n",
            "Epoch: 2/50-Batch: 1136/1875--D.loss:0.1428,G.loss:0.5713\n",
            "Epoch: 2/50-Batch: 1137/1875--D.loss:0.0934,G.loss:0.4826\n",
            "Epoch: 2/50-Batch: 1138/1875--D.loss:0.1283,G.loss:0.6151\n",
            "Epoch: 2/50-Batch: 1139/1875--D.loss:0.1403,G.loss:0.7099\n",
            "Epoch: 2/50-Batch: 1140/1875--D.loss:0.2017,G.loss:0.2812\n",
            "Epoch: 2/50-Batch: 1141/1875--D.loss:0.1679,G.loss:0.8629\n",
            "Epoch: 2/50-Batch: 1142/1875--D.loss:0.1413,G.loss:0.4237\n",
            "Epoch: 2/50-Batch: 1143/1875--D.loss:0.1117,G.loss:0.4707\n",
            "Epoch: 2/50-Batch: 1144/1875--D.loss:0.0758,G.loss:0.7159\n",
            "Epoch: 2/50-Batch: 1145/1875--D.loss:0.1517,G.loss:0.7088\n",
            "Epoch: 2/50-Batch: 1146/1875--D.loss:0.1897,G.loss:0.3097\n",
            "Epoch: 2/50-Batch: 1147/1875--D.loss:0.1429,G.loss:0.7621\n",
            "Epoch: 2/50-Batch: 1148/1875--D.loss:0.1301,G.loss:0.7051\n",
            "Epoch: 2/50-Batch: 1149/1875--D.loss:0.1519,G.loss:0.3851\n",
            "Epoch: 2/50-Batch: 1150/1875--D.loss:0.1266,G.loss:0.7492\n",
            "Epoch: 2/50-Batch: 1151/1875--D.loss:0.1142,G.loss:0.6706\n",
            "Epoch: 2/50-Batch: 1152/1875--D.loss:0.1486,G.loss:0.3723\n",
            "Epoch: 2/50-Batch: 1153/1875--D.loss:0.1694,G.loss:0.7464\n",
            "Epoch: 2/50-Batch: 1154/1875--D.loss:0.1689,G.loss:0.4527\n",
            "Epoch: 2/50-Batch: 1155/1875--D.loss:0.1578,G.loss:0.3850\n",
            "Epoch: 2/50-Batch: 1156/1875--D.loss:0.1506,G.loss:0.8750\n",
            "Epoch: 2/50-Batch: 1157/1875--D.loss:0.1402,G.loss:0.4177\n",
            "Epoch: 2/50-Batch: 1158/1875--D.loss:0.1463,G.loss:0.4697\n",
            "Epoch: 2/50-Batch: 1159/1875--D.loss:0.2075,G.loss:0.7498\n",
            "Epoch: 2/50-Batch: 1160/1875--D.loss:0.2509,G.loss:0.1689\n",
            "Epoch: 2/50-Batch: 1161/1875--D.loss:0.1546,G.loss:0.6294\n",
            "Epoch: 2/50-Batch: 1162/1875--D.loss:0.1385,G.loss:0.5961\n",
            "Epoch: 2/50-Batch: 1163/1875--D.loss:0.1403,G.loss:0.4936\n",
            "Epoch: 2/50-Batch: 1164/1875--D.loss:0.1281,G.loss:0.5722\n",
            "Epoch: 2/50-Batch: 1165/1875--D.loss:0.1477,G.loss:0.7530\n",
            "Epoch: 2/50-Batch: 1166/1875--D.loss:0.1691,G.loss:0.2624\n",
            "Epoch: 2/50-Batch: 1167/1875--D.loss:0.1277,G.loss:0.5798\n",
            "Epoch: 2/50-Batch: 1168/1875--D.loss:0.1401,G.loss:0.5911\n",
            "Epoch: 2/50-Batch: 1169/1875--D.loss:0.1491,G.loss:0.4000\n",
            "Epoch: 2/50-Batch: 1170/1875--D.loss:0.1501,G.loss:0.6575\n",
            "Epoch: 2/50-Batch: 1171/1875--D.loss:0.1385,G.loss:0.5145\n",
            "Epoch: 2/50-Batch: 1172/1875--D.loss:0.1396,G.loss:0.4495\n",
            "Epoch: 2/50-Batch: 1173/1875--D.loss:0.1573,G.loss:0.6717\n",
            "Epoch: 2/50-Batch: 1174/1875--D.loss:0.1252,G.loss:0.4859\n",
            "Epoch: 2/50-Batch: 1175/1875--D.loss:0.1740,G.loss:0.4984\n",
            "Epoch: 2/50-Batch: 1176/1875--D.loss:0.1447,G.loss:0.3340\n",
            "Epoch: 2/50-Batch: 1177/1875--D.loss:0.1653,G.loss:0.6944\n",
            "Epoch: 2/50-Batch: 1178/1875--D.loss:0.1317,G.loss:0.5167\n",
            "Epoch: 2/50-Batch: 1179/1875--D.loss:0.1482,G.loss:0.4422\n",
            "Epoch: 2/50-Batch: 1180/1875--D.loss:0.1360,G.loss:0.6824\n",
            "Epoch: 2/50-Batch: 1181/1875--D.loss:0.1361,G.loss:0.3679\n",
            "Epoch: 2/50-Batch: 1182/1875--D.loss:0.1471,G.loss:0.5238\n",
            "Epoch: 2/50-Batch: 1183/1875--D.loss:0.1747,G.loss:0.4246\n",
            "Epoch: 2/50-Batch: 1184/1875--D.loss:0.1707,G.loss:0.7132\n",
            "Epoch: 2/50-Batch: 1185/1875--D.loss:0.1752,G.loss:0.3874\n",
            "Epoch: 2/50-Batch: 1186/1875--D.loss:0.1443,G.loss:0.5180\n",
            "Epoch: 2/50-Batch: 1187/1875--D.loss:0.1324,G.loss:0.5029\n",
            "Epoch: 2/50-Batch: 1188/1875--D.loss:0.1209,G.loss:0.4959\n",
            "Epoch: 2/50-Batch: 1189/1875--D.loss:0.1489,G.loss:0.5350\n",
            "Epoch: 2/50-Batch: 1190/1875--D.loss:0.1587,G.loss:0.3921\n",
            "Epoch: 2/50-Batch: 1191/1875--D.loss:0.1464,G.loss:0.7075\n",
            "Epoch: 2/50-Batch: 1192/1875--D.loss:0.1544,G.loss:0.4566\n",
            "Epoch: 2/50-Batch: 1193/1875--D.loss:0.1320,G.loss:0.4532\n",
            "Epoch: 2/50-Batch: 1194/1875--D.loss:0.1207,G.loss:0.6056\n",
            "Epoch: 2/50-Batch: 1195/1875--D.loss:0.1909,G.loss:0.4678\n",
            "Epoch: 2/50-Batch: 1196/1875--D.loss:0.1366,G.loss:0.4227\n",
            "Epoch: 2/50-Batch: 1197/1875--D.loss:0.1549,G.loss:0.7341\n",
            "Epoch: 2/50-Batch: 1198/1875--D.loss:0.1776,G.loss:0.2957\n",
            "Epoch: 2/50-Batch: 1199/1875--D.loss:0.2561,G.loss:1.1035\n",
            "Epoch: 2/50-Batch: 1200/1875--D.loss:0.2670,G.loss:0.1342\n",
            "Epoch: 2/50-Batch: 1201/1875--D.loss:0.1443,G.loss:0.6734\n",
            "Epoch: 2/50-Batch: 1202/1875--D.loss:0.1084,G.loss:0.7265\n",
            "Epoch: 2/50-Batch: 1203/1875--D.loss:0.1519,G.loss:0.6755\n",
            "Epoch: 2/50-Batch: 1204/1875--D.loss:0.1375,G.loss:0.3816\n",
            "Epoch: 2/50-Batch: 1205/1875--D.loss:0.1545,G.loss:0.5846\n",
            "Epoch: 2/50-Batch: 1206/1875--D.loss:0.1385,G.loss:0.6318\n",
            "Epoch: 2/50-Batch: 1207/1875--D.loss:0.1550,G.loss:0.3562\n",
            "Epoch: 2/50-Batch: 1208/1875--D.loss:0.1506,G.loss:0.5720\n",
            "Epoch: 2/50-Batch: 1209/1875--D.loss:0.1409,G.loss:0.6168\n",
            "Epoch: 2/50-Batch: 1210/1875--D.loss:0.1183,G.loss:0.4143\n",
            "Epoch: 2/50-Batch: 1211/1875--D.loss:0.1027,G.loss:0.6021\n",
            "Epoch: 2/50-Batch: 1212/1875--D.loss:0.1299,G.loss:0.5906\n",
            "Epoch: 2/50-Batch: 1213/1875--D.loss:0.1358,G.loss:0.4953\n",
            "Epoch: 2/50-Batch: 1214/1875--D.loss:0.1560,G.loss:0.4488\n",
            "Epoch: 2/50-Batch: 1215/1875--D.loss:0.1513,G.loss:0.7976\n",
            "Epoch: 2/50-Batch: 1216/1875--D.loss:0.1661,G.loss:0.3172\n",
            "Epoch: 2/50-Batch: 1217/1875--D.loss:0.1518,G.loss:0.6388\n",
            "Epoch: 2/50-Batch: 1218/1875--D.loss:0.1094,G.loss:0.4591\n",
            "Epoch: 2/50-Batch: 1219/1875--D.loss:0.1482,G.loss:0.7487\n",
            "Epoch: 2/50-Batch: 1220/1875--D.loss:0.1516,G.loss:0.3677\n",
            "Epoch: 2/50-Batch: 1221/1875--D.loss:0.1217,G.loss:0.6117\n",
            "Epoch: 2/50-Batch: 1222/1875--D.loss:0.1295,G.loss:0.6927\n",
            "Epoch: 2/50-Batch: 1223/1875--D.loss:0.1248,G.loss:0.4275\n",
            "Epoch: 2/50-Batch: 1224/1875--D.loss:0.1377,G.loss:0.5133\n",
            "Epoch: 2/50-Batch: 1225/1875--D.loss:0.1587,G.loss:0.6399\n",
            "Epoch: 2/50-Batch: 1226/1875--D.loss:0.1511,G.loss:0.3404\n",
            "Epoch: 2/50-Batch: 1227/1875--D.loss:0.1522,G.loss:0.9380\n",
            "Epoch: 2/50-Batch: 1228/1875--D.loss:0.1397,G.loss:0.3172\n",
            "Epoch: 2/50-Batch: 1229/1875--D.loss:0.0969,G.loss:0.6713\n",
            "Epoch: 2/50-Batch: 1230/1875--D.loss:0.1018,G.loss:0.6103\n",
            "Epoch: 2/50-Batch: 1231/1875--D.loss:0.1332,G.loss:0.5297\n",
            "Epoch: 2/50-Batch: 1232/1875--D.loss:0.1227,G.loss:0.6239\n",
            "Epoch: 2/50-Batch: 1233/1875--D.loss:0.1328,G.loss:0.7309\n",
            "Epoch: 2/50-Batch: 1234/1875--D.loss:0.1493,G.loss:0.3857\n",
            "Epoch: 2/50-Batch: 1235/1875--D.loss:0.1520,G.loss:0.8976\n",
            "Epoch: 2/50-Batch: 1236/1875--D.loss:0.1294,G.loss:0.3559\n",
            "Epoch: 2/50-Batch: 1237/1875--D.loss:0.1388,G.loss:0.6758\n",
            "Epoch: 2/50-Batch: 1238/1875--D.loss:0.1056,G.loss:0.7359\n",
            "Epoch: 2/50-Batch: 1239/1875--D.loss:0.1623,G.loss:0.3991\n",
            "Epoch: 2/50-Batch: 1240/1875--D.loss:0.2068,G.loss:0.8364\n",
            "Epoch: 2/50-Batch: 1241/1875--D.loss:0.2387,G.loss:0.1833\n",
            "Epoch: 2/50-Batch: 1242/1875--D.loss:0.1403,G.loss:0.8821\n",
            "Epoch: 2/50-Batch: 1243/1875--D.loss:0.1251,G.loss:0.5147\n",
            "Epoch: 2/50-Batch: 1244/1875--D.loss:0.1406,G.loss:0.4582\n",
            "Epoch: 2/50-Batch: 1245/1875--D.loss:0.1110,G.loss:0.6079\n",
            "Epoch: 2/50-Batch: 1246/1875--D.loss:0.0967,G.loss:0.7663\n",
            "Epoch: 2/50-Batch: 1247/1875--D.loss:0.1133,G.loss:0.4821\n",
            "Epoch: 2/50-Batch: 1248/1875--D.loss:0.1234,G.loss:0.6192\n",
            "Epoch: 2/50-Batch: 1249/1875--D.loss:0.1448,G.loss:0.5899\n",
            "Epoch: 2/50-Batch: 1250/1875--D.loss:0.1472,G.loss:0.5742\n",
            "Epoch: 2/50-Batch: 1251/1875--D.loss:0.1631,G.loss:0.3197\n",
            "Epoch: 2/50-Batch: 1252/1875--D.loss:0.1514,G.loss:0.8126\n",
            "Epoch: 2/50-Batch: 1253/1875--D.loss:0.1266,G.loss:0.4266\n",
            "Epoch: 2/50-Batch: 1254/1875--D.loss:0.1403,G.loss:0.5380\n",
            "Epoch: 2/50-Batch: 1255/1875--D.loss:0.1665,G.loss:0.7955\n",
            "Epoch: 2/50-Batch: 1256/1875--D.loss:0.1858,G.loss:0.3896\n",
            "Epoch: 2/50-Batch: 1257/1875--D.loss:0.1558,G.loss:0.6138\n",
            "Epoch: 2/50-Batch: 1258/1875--D.loss:0.1392,G.loss:0.6142\n",
            "Epoch: 2/50-Batch: 1259/1875--D.loss:0.1427,G.loss:0.4751\n",
            "Epoch: 2/50-Batch: 1260/1875--D.loss:0.1726,G.loss:0.6670\n",
            "Epoch: 2/50-Batch: 1261/1875--D.loss:0.1513,G.loss:0.3358\n",
            "Epoch: 2/50-Batch: 1262/1875--D.loss:0.1337,G.loss:0.6777\n",
            "Epoch: 2/50-Batch: 1263/1875--D.loss:0.1191,G.loss:0.3990\n",
            "Epoch: 2/50-Batch: 1264/1875--D.loss:0.1394,G.loss:0.4632\n",
            "Epoch: 2/50-Batch: 1265/1875--D.loss:0.1679,G.loss:0.5803\n",
            "Epoch: 2/50-Batch: 1266/1875--D.loss:0.1543,G.loss:0.3486\n",
            "Epoch: 2/50-Batch: 1267/1875--D.loss:0.1612,G.loss:0.8833\n",
            "Epoch: 2/50-Batch: 1268/1875--D.loss:0.1167,G.loss:0.4708\n",
            "Epoch: 2/50-Batch: 1269/1875--D.loss:0.1414,G.loss:0.3228\n",
            "Epoch: 2/50-Batch: 1270/1875--D.loss:0.1696,G.loss:0.8752\n",
            "Epoch: 2/50-Batch: 1271/1875--D.loss:0.1524,G.loss:0.3106\n",
            "Epoch: 2/50-Batch: 1272/1875--D.loss:0.1356,G.loss:0.7974\n",
            "Epoch: 2/50-Batch: 1273/1875--D.loss:0.1584,G.loss:0.5831\n",
            "Epoch: 2/50-Batch: 1274/1875--D.loss:0.1796,G.loss:0.5020\n",
            "Epoch: 2/50-Batch: 1275/1875--D.loss:0.1403,G.loss:0.4167\n",
            "Epoch: 2/50-Batch: 1276/1875--D.loss:0.1459,G.loss:0.4620\n",
            "Epoch: 2/50-Batch: 1277/1875--D.loss:0.1561,G.loss:0.6308\n",
            "Epoch: 2/50-Batch: 1278/1875--D.loss:0.1714,G.loss:0.3744\n",
            "Epoch: 2/50-Batch: 1279/1875--D.loss:0.1350,G.loss:0.5798\n",
            "Epoch: 2/50-Batch: 1280/1875--D.loss:0.1585,G.loss:0.5402\n",
            "Epoch: 2/50-Batch: 1281/1875--D.loss:0.1597,G.loss:0.4481\n",
            "Epoch: 2/50-Batch: 1282/1875--D.loss:0.1966,G.loss:0.5489\n",
            "Epoch: 2/50-Batch: 1283/1875--D.loss:0.1538,G.loss:0.3588\n",
            "Epoch: 2/50-Batch: 1284/1875--D.loss:0.1295,G.loss:0.5848\n",
            "Epoch: 2/50-Batch: 1285/1875--D.loss:0.1253,G.loss:0.5668\n",
            "Epoch: 2/50-Batch: 1286/1875--D.loss:0.1531,G.loss:0.4178\n",
            "Epoch: 2/50-Batch: 1287/1875--D.loss:0.1361,G.loss:0.6349\n",
            "Epoch: 2/50-Batch: 1288/1875--D.loss:0.1076,G.loss:0.4349\n",
            "Epoch: 2/50-Batch: 1289/1875--D.loss:0.1293,G.loss:0.6241\n",
            "Epoch: 2/50-Batch: 1290/1875--D.loss:0.1559,G.loss:0.5210\n",
            "Epoch: 2/50-Batch: 1291/1875--D.loss:0.1736,G.loss:0.4576\n",
            "Epoch: 2/50-Batch: 1292/1875--D.loss:0.1691,G.loss:0.8317\n",
            "Epoch: 2/50-Batch: 1293/1875--D.loss:0.2148,G.loss:0.2465\n",
            "Epoch: 2/50-Batch: 1294/1875--D.loss:0.1828,G.loss:0.9619\n",
            "Epoch: 2/50-Batch: 1295/1875--D.loss:0.1433,G.loss:0.4110\n",
            "Epoch: 2/50-Batch: 1296/1875--D.loss:0.1449,G.loss:0.3129\n",
            "Epoch: 2/50-Batch: 1297/1875--D.loss:0.1313,G.loss:0.9130\n",
            "Epoch: 2/50-Batch: 1298/1875--D.loss:0.1268,G.loss:0.5534\n",
            "Epoch: 2/50-Batch: 1299/1875--D.loss:0.1827,G.loss:0.2858\n",
            "Epoch: 2/50-Batch: 1300/1875--D.loss:0.1435,G.loss:0.6746\n",
            "Epoch: 2/50-Batch: 1301/1875--D.loss:0.1326,G.loss:0.6618\n",
            "Epoch: 2/50-Batch: 1302/1875--D.loss:0.1370,G.loss:0.4417\n",
            "Epoch: 2/50-Batch: 1303/1875--D.loss:0.1402,G.loss:0.5028\n",
            "Epoch: 2/50-Batch: 1304/1875--D.loss:0.1166,G.loss:0.6236\n",
            "Epoch: 2/50-Batch: 1305/1875--D.loss:0.1508,G.loss:0.5501\n",
            "Epoch: 2/50-Batch: 1306/1875--D.loss:0.1159,G.loss:0.5160\n",
            "Epoch: 2/50-Batch: 1307/1875--D.loss:0.1121,G.loss:0.5326\n",
            "Epoch: 2/50-Batch: 1308/1875--D.loss:0.1700,G.loss:0.8292\n",
            "Epoch: 2/50-Batch: 1309/1875--D.loss:0.1731,G.loss:0.4525\n",
            "Epoch: 2/50-Batch: 1310/1875--D.loss:0.1587,G.loss:0.4658\n",
            "Epoch: 2/50-Batch: 1311/1875--D.loss:0.1171,G.loss:0.5718\n",
            "Epoch: 2/50-Batch: 1312/1875--D.loss:0.1022,G.loss:0.5772\n",
            "Epoch: 2/50-Batch: 1313/1875--D.loss:0.0933,G.loss:0.6537\n",
            "Epoch: 2/50-Batch: 1314/1875--D.loss:0.1283,G.loss:0.7711\n",
            "Epoch: 2/50-Batch: 1315/1875--D.loss:0.1653,G.loss:0.4220\n",
            "Epoch: 2/50-Batch: 1316/1875--D.loss:0.1401,G.loss:0.6229\n",
            "Epoch: 2/50-Batch: 1317/1875--D.loss:0.1384,G.loss:0.4920\n",
            "Epoch: 2/50-Batch: 1318/1875--D.loss:0.1450,G.loss:0.7113\n",
            "Epoch: 2/50-Batch: 1319/1875--D.loss:0.1355,G.loss:0.4383\n",
            "Epoch: 2/50-Batch: 1320/1875--D.loss:0.1163,G.loss:0.6716\n",
            "Epoch: 2/50-Batch: 1321/1875--D.loss:0.1424,G.loss:0.5295\n",
            "Epoch: 2/50-Batch: 1322/1875--D.loss:0.1159,G.loss:0.7850\n",
            "Epoch: 2/50-Batch: 1323/1875--D.loss:0.1539,G.loss:0.4889\n",
            "Epoch: 2/50-Batch: 1324/1875--D.loss:0.1561,G.loss:0.7013\n",
            "Epoch: 2/50-Batch: 1325/1875--D.loss:0.1567,G.loss:0.3636\n",
            "Epoch: 2/50-Batch: 1326/1875--D.loss:0.1205,G.loss:0.7093\n",
            "Epoch: 2/50-Batch: 1327/1875--D.loss:0.1298,G.loss:0.4322\n",
            "Epoch: 2/50-Batch: 1328/1875--D.loss:0.1972,G.loss:0.8364\n",
            "Epoch: 2/50-Batch: 1329/1875--D.loss:0.1251,G.loss:0.4896\n",
            "Epoch: 2/50-Batch: 1330/1875--D.loss:0.1463,G.loss:0.3614\n",
            "Epoch: 2/50-Batch: 1331/1875--D.loss:0.1336,G.loss:0.8015\n",
            "Epoch: 2/50-Batch: 1332/1875--D.loss:0.1460,G.loss:0.4945\n",
            "Epoch: 2/50-Batch: 1333/1875--D.loss:0.1903,G.loss:0.3357\n",
            "Epoch: 2/50-Batch: 1334/1875--D.loss:0.1190,G.loss:0.6840\n",
            "Epoch: 2/50-Batch: 1335/1875--D.loss:0.1145,G.loss:0.4616\n",
            "Epoch: 2/50-Batch: 1336/1875--D.loss:0.1657,G.loss:0.5149\n",
            "Epoch: 2/50-Batch: 1337/1875--D.loss:0.1239,G.loss:0.5027\n",
            "Epoch: 2/50-Batch: 1338/1875--D.loss:0.1100,G.loss:0.6561\n",
            "Epoch: 2/50-Batch: 1339/1875--D.loss:0.1107,G.loss:0.6291\n",
            "Epoch: 2/50-Batch: 1340/1875--D.loss:0.1198,G.loss:0.5777\n",
            "Epoch: 2/50-Batch: 1341/1875--D.loss:0.1394,G.loss:0.5381\n",
            "Epoch: 2/50-Batch: 1342/1875--D.loss:0.1151,G.loss:0.7206\n",
            "Epoch: 2/50-Batch: 1343/1875--D.loss:0.1552,G.loss:0.4478\n",
            "Epoch: 2/50-Batch: 1344/1875--D.loss:0.1767,G.loss:1.0450\n",
            "Epoch: 2/50-Batch: 1345/1875--D.loss:0.1838,G.loss:0.2823\n",
            "Epoch: 2/50-Batch: 1346/1875--D.loss:0.1249,G.loss:0.6907\n",
            "Epoch: 2/50-Batch: 1347/1875--D.loss:0.0984,G.loss:0.5139\n",
            "Epoch: 2/50-Batch: 1348/1875--D.loss:0.1428,G.loss:0.5558\n",
            "Epoch: 2/50-Batch: 1349/1875--D.loss:0.1416,G.loss:0.4746\n",
            "Epoch: 2/50-Batch: 1350/1875--D.loss:0.1450,G.loss:0.6919\n",
            "Epoch: 2/50-Batch: 1351/1875--D.loss:0.1395,G.loss:0.4262\n",
            "Epoch: 2/50-Batch: 1352/1875--D.loss:0.1453,G.loss:0.5040\n",
            "Epoch: 2/50-Batch: 1353/1875--D.loss:0.1601,G.loss:0.7534\n",
            "Epoch: 2/50-Batch: 1354/1875--D.loss:0.1448,G.loss:0.4551\n",
            "Epoch: 2/50-Batch: 1355/1875--D.loss:0.1701,G.loss:0.5507\n",
            "Epoch: 2/50-Batch: 1356/1875--D.loss:0.1649,G.loss:0.5592\n",
            "Epoch: 2/50-Batch: 1357/1875--D.loss:0.1573,G.loss:0.4334\n",
            "Epoch: 2/50-Batch: 1358/1875--D.loss:0.1691,G.loss:0.3651\n",
            "Epoch: 2/50-Batch: 1359/1875--D.loss:0.1814,G.loss:0.7407\n",
            "Epoch: 2/50-Batch: 1360/1875--D.loss:0.1849,G.loss:0.2966\n",
            "Epoch: 2/50-Batch: 1361/1875--D.loss:0.1313,G.loss:0.6302\n",
            "Epoch: 2/50-Batch: 1362/1875--D.loss:0.1281,G.loss:0.5333\n",
            "Epoch: 2/50-Batch: 1363/1875--D.loss:0.1020,G.loss:0.5829\n",
            "Epoch: 2/50-Batch: 1364/1875--D.loss:0.1482,G.loss:0.6143\n",
            "Epoch: 2/50-Batch: 1365/1875--D.loss:0.1564,G.loss:0.4364\n",
            "Epoch: 2/50-Batch: 1366/1875--D.loss:0.1458,G.loss:0.6586\n",
            "Epoch: 2/50-Batch: 1367/1875--D.loss:0.1203,G.loss:0.6353\n",
            "Epoch: 2/50-Batch: 1368/1875--D.loss:0.1871,G.loss:0.3675\n",
            "Epoch: 2/50-Batch: 1369/1875--D.loss:0.2220,G.loss:0.9000\n",
            "Epoch: 2/50-Batch: 1370/1875--D.loss:0.1818,G.loss:0.3276\n",
            "Epoch: 2/50-Batch: 1371/1875--D.loss:0.1371,G.loss:0.3951\n",
            "Epoch: 2/50-Batch: 1372/1875--D.loss:0.1529,G.loss:0.8031\n",
            "Epoch: 2/50-Batch: 1373/1875--D.loss:0.1443,G.loss:0.5545\n",
            "Epoch: 2/50-Batch: 1374/1875--D.loss:0.1752,G.loss:0.2617\n",
            "Epoch: 2/50-Batch: 1375/1875--D.loss:0.1822,G.loss:0.7630\n",
            "Epoch: 2/50-Batch: 1376/1875--D.loss:0.1736,G.loss:0.3003\n",
            "Epoch: 2/50-Batch: 1377/1875--D.loss:0.1213,G.loss:0.5309\n",
            "Epoch: 2/50-Batch: 1378/1875--D.loss:0.1221,G.loss:0.6004\n",
            "Epoch: 2/50-Batch: 1379/1875--D.loss:0.1519,G.loss:0.6053\n",
            "Epoch: 2/50-Batch: 1380/1875--D.loss:0.1325,G.loss:0.4560\n",
            "Epoch: 2/50-Batch: 1381/1875--D.loss:0.1368,G.loss:0.6341\n",
            "Epoch: 2/50-Batch: 1382/1875--D.loss:0.1488,G.loss:0.4228\n",
            "Epoch: 2/50-Batch: 1383/1875--D.loss:0.1431,G.loss:0.6155\n",
            "Epoch: 2/50-Batch: 1384/1875--D.loss:0.1404,G.loss:0.4360\n",
            "Epoch: 2/50-Batch: 1385/1875--D.loss:0.1230,G.loss:0.5344\n",
            "Epoch: 2/50-Batch: 1386/1875--D.loss:0.1845,G.loss:0.3924\n",
            "Epoch: 2/50-Batch: 1387/1875--D.loss:0.1294,G.loss:0.6758\n",
            "Epoch: 2/50-Batch: 1388/1875--D.loss:0.1343,G.loss:0.4284\n",
            "Epoch: 2/50-Batch: 1389/1875--D.loss:0.1196,G.loss:0.5433\n",
            "Epoch: 2/50-Batch: 1390/1875--D.loss:0.1339,G.loss:0.6956\n",
            "Epoch: 2/50-Batch: 1391/1875--D.loss:0.1243,G.loss:0.4603\n",
            "Epoch: 2/50-Batch: 1392/1875--D.loss:0.1550,G.loss:0.7018\n",
            "Epoch: 2/50-Batch: 1393/1875--D.loss:0.1491,G.loss:0.3645\n",
            "Epoch: 2/50-Batch: 1394/1875--D.loss:0.1423,G.loss:0.7162\n",
            "Epoch: 2/50-Batch: 1395/1875--D.loss:0.1617,G.loss:0.4835\n",
            "Epoch: 2/50-Batch: 1396/1875--D.loss:0.1554,G.loss:0.4776\n",
            "Epoch: 2/50-Batch: 1397/1875--D.loss:0.1480,G.loss:0.4713\n",
            "Epoch: 2/50-Batch: 1398/1875--D.loss:0.1206,G.loss:0.5379\n",
            "Epoch: 2/50-Batch: 1399/1875--D.loss:0.1636,G.loss:0.6067\n",
            "Epoch: 2/50-Batch: 1400/1875--D.loss:0.1497,G.loss:0.3384\n",
            "Epoch: 2/50-Batch: 1401/1875--D.loss:0.1779,G.loss:0.8386\n",
            "Epoch: 2/50-Batch: 1402/1875--D.loss:0.1615,G.loss:0.3178\n",
            "Epoch: 2/50-Batch: 1403/1875--D.loss:0.1473,G.loss:0.6102\n",
            "Epoch: 2/50-Batch: 1404/1875--D.loss:0.1359,G.loss:0.4684\n",
            "Epoch: 2/50-Batch: 1405/1875--D.loss:0.1682,G.loss:0.8339\n",
            "Epoch: 2/50-Batch: 1406/1875--D.loss:0.1538,G.loss:0.3282\n",
            "Epoch: 2/50-Batch: 1407/1875--D.loss:0.1385,G.loss:0.7301\n",
            "Epoch: 2/50-Batch: 1408/1875--D.loss:0.1419,G.loss:0.6492\n",
            "Epoch: 2/50-Batch: 1409/1875--D.loss:0.1682,G.loss:0.4808\n",
            "Epoch: 2/50-Batch: 1410/1875--D.loss:0.1201,G.loss:0.4743\n",
            "Epoch: 2/50-Batch: 1411/1875--D.loss:0.1360,G.loss:0.7254\n",
            "Epoch: 2/50-Batch: 1412/1875--D.loss:0.1520,G.loss:0.4300\n",
            "Epoch: 2/50-Batch: 1413/1875--D.loss:0.1860,G.loss:0.6362\n",
            "Epoch: 2/50-Batch: 1414/1875--D.loss:0.1553,G.loss:0.5740\n",
            "Epoch: 2/50-Batch: 1415/1875--D.loss:0.1332,G.loss:0.4521\n",
            "Epoch: 2/50-Batch: 1416/1875--D.loss:0.1432,G.loss:0.5785\n",
            "Epoch: 2/50-Batch: 1417/1875--D.loss:0.1694,G.loss:0.4492\n",
            "Epoch: 2/50-Batch: 1418/1875--D.loss:0.1647,G.loss:0.4081\n",
            "Epoch: 2/50-Batch: 1419/1875--D.loss:0.1672,G.loss:0.6375\n",
            "Epoch: 2/50-Batch: 1420/1875--D.loss:0.1491,G.loss:0.3748\n",
            "Epoch: 2/50-Batch: 1421/1875--D.loss:0.2347,G.loss:0.7580\n",
            "Epoch: 2/50-Batch: 1422/1875--D.loss:0.2464,G.loss:0.2208\n",
            "Epoch: 2/50-Batch: 1423/1875--D.loss:0.1870,G.loss:0.7784\n",
            "Epoch: 2/50-Batch: 1424/1875--D.loss:0.1390,G.loss:0.5158\n",
            "Epoch: 2/50-Batch: 1425/1875--D.loss:0.1141,G.loss:0.5352\n",
            "Epoch: 2/50-Batch: 1426/1875--D.loss:0.1352,G.loss:0.6246\n",
            "Epoch: 2/50-Batch: 1427/1875--D.loss:0.1776,G.loss:0.3792\n",
            "Epoch: 2/50-Batch: 1428/1875--D.loss:0.1273,G.loss:0.8072\n",
            "Epoch: 2/50-Batch: 1429/1875--D.loss:0.1320,G.loss:0.5493\n",
            "Epoch: 2/50-Batch: 1430/1875--D.loss:0.1728,G.loss:0.3456\n",
            "Epoch: 2/50-Batch: 1431/1875--D.loss:0.1810,G.loss:0.6032\n",
            "Epoch: 2/50-Batch: 1432/1875--D.loss:0.1304,G.loss:0.3925\n",
            "Epoch: 2/50-Batch: 1433/1875--D.loss:0.1806,G.loss:0.6456\n",
            "Epoch: 2/50-Batch: 1434/1875--D.loss:0.1618,G.loss:0.3236\n",
            "Epoch: 2/50-Batch: 1435/1875--D.loss:0.1248,G.loss:0.7251\n",
            "Epoch: 2/50-Batch: 1436/1875--D.loss:0.1225,G.loss:0.5453\n",
            "Epoch: 2/50-Batch: 1437/1875--D.loss:0.1739,G.loss:0.5259\n",
            "Epoch: 2/50-Batch: 1438/1875--D.loss:0.1630,G.loss:0.4901\n",
            "Epoch: 2/50-Batch: 1439/1875--D.loss:0.1383,G.loss:0.6708\n",
            "Epoch: 2/50-Batch: 1440/1875--D.loss:0.1282,G.loss:0.5031\n",
            "Epoch: 2/50-Batch: 1441/1875--D.loss:0.1365,G.loss:0.4657\n",
            "Epoch: 2/50-Batch: 1442/1875--D.loss:0.1555,G.loss:0.6340\n",
            "Epoch: 2/50-Batch: 1443/1875--D.loss:0.1849,G.loss:0.5780\n",
            "Epoch: 2/50-Batch: 1444/1875--D.loss:0.2125,G.loss:0.2792\n",
            "Epoch: 2/50-Batch: 1445/1875--D.loss:0.1353,G.loss:0.7498\n",
            "Epoch: 2/50-Batch: 1446/1875--D.loss:0.1302,G.loss:0.5298\n",
            "Epoch: 2/50-Batch: 1447/1875--D.loss:0.1741,G.loss:0.3938\n",
            "Epoch: 2/50-Batch: 1448/1875--D.loss:0.1509,G.loss:0.5314\n",
            "Epoch: 2/50-Batch: 1449/1875--D.loss:0.1459,G.loss:0.4617\n",
            "Epoch: 2/50-Batch: 1450/1875--D.loss:0.1482,G.loss:0.5461\n",
            "Epoch: 2/50-Batch: 1451/1875--D.loss:0.1322,G.loss:0.6177\n",
            "Epoch: 2/50-Batch: 1452/1875--D.loss:0.1558,G.loss:0.4552\n",
            "Epoch: 2/50-Batch: 1453/1875--D.loss:0.1621,G.loss:0.8090\n",
            "Epoch: 2/50-Batch: 1454/1875--D.loss:0.2700,G.loss:0.1710\n",
            "Epoch: 2/50-Batch: 1455/1875--D.loss:0.1877,G.loss:0.7875\n",
            "Epoch: 2/50-Batch: 1456/1875--D.loss:0.1201,G.loss:0.4090\n",
            "Epoch: 2/50-Batch: 1457/1875--D.loss:0.1558,G.loss:0.5219\n",
            "Epoch: 2/50-Batch: 1458/1875--D.loss:0.1279,G.loss:0.5147\n",
            "Epoch: 2/50-Batch: 1459/1875--D.loss:0.1496,G.loss:0.6290\n",
            "Epoch: 2/50-Batch: 1460/1875--D.loss:0.1516,G.loss:0.3461\n",
            "Epoch: 2/50-Batch: 1461/1875--D.loss:0.1106,G.loss:0.6088\n",
            "Epoch: 2/50-Batch: 1462/1875--D.loss:0.1601,G.loss:0.8165\n",
            "Epoch: 2/50-Batch: 1463/1875--D.loss:0.1564,G.loss:0.3280\n",
            "Epoch: 2/50-Batch: 1464/1875--D.loss:0.1465,G.loss:0.3973\n",
            "Epoch: 2/50-Batch: 1465/1875--D.loss:0.1560,G.loss:0.8604\n",
            "Epoch: 2/50-Batch: 1466/1875--D.loss:0.1536,G.loss:0.5098\n",
            "Epoch: 2/50-Batch: 1467/1875--D.loss:0.1674,G.loss:0.3285\n",
            "Epoch: 2/50-Batch: 1468/1875--D.loss:0.1851,G.loss:0.8841\n",
            "Epoch: 2/50-Batch: 1469/1875--D.loss:0.1366,G.loss:0.3974\n",
            "Epoch: 2/50-Batch: 1470/1875--D.loss:0.1897,G.loss:0.3512\n",
            "Epoch: 2/50-Batch: 1471/1875--D.loss:0.1700,G.loss:0.7591\n",
            "Epoch: 2/50-Batch: 1472/1875--D.loss:0.1208,G.loss:0.6229\n",
            "Epoch: 2/50-Batch: 1473/1875--D.loss:0.1487,G.loss:0.4410\n",
            "Epoch: 2/50-Batch: 1474/1875--D.loss:0.1415,G.loss:0.6588\n",
            "Epoch: 2/50-Batch: 1475/1875--D.loss:0.1302,G.loss:0.4385\n",
            "Epoch: 2/50-Batch: 1476/1875--D.loss:0.1593,G.loss:0.5264\n",
            "Epoch: 2/50-Batch: 1477/1875--D.loss:0.1717,G.loss:0.3140\n",
            "Epoch: 2/50-Batch: 1478/1875--D.loss:0.1613,G.loss:0.6450\n",
            "Epoch: 2/50-Batch: 1479/1875--D.loss:0.1235,G.loss:0.5091\n",
            "Epoch: 2/50-Batch: 1480/1875--D.loss:0.1540,G.loss:0.3897\n",
            "Epoch: 2/50-Batch: 1481/1875--D.loss:0.1674,G.loss:0.6249\n",
            "Epoch: 2/50-Batch: 1482/1875--D.loss:0.1235,G.loss:0.5200\n",
            "Epoch: 2/50-Batch: 1483/1875--D.loss:0.1416,G.loss:0.5073\n",
            "Epoch: 2/50-Batch: 1484/1875--D.loss:0.1755,G.loss:0.8026\n",
            "Epoch: 2/50-Batch: 1485/1875--D.loss:0.2108,G.loss:0.3005\n",
            "Epoch: 2/50-Batch: 1486/1875--D.loss:0.1423,G.loss:0.6123\n",
            "Epoch: 2/50-Batch: 1487/1875--D.loss:0.1250,G.loss:0.6567\n",
            "Epoch: 2/50-Batch: 1488/1875--D.loss:0.1713,G.loss:0.4308\n",
            "Epoch: 2/50-Batch: 1489/1875--D.loss:0.1463,G.loss:0.5435\n",
            "Epoch: 2/50-Batch: 1490/1875--D.loss:0.1605,G.loss:0.5561\n",
            "Epoch: 2/50-Batch: 1491/1875--D.loss:0.1685,G.loss:0.4415\n",
            "Epoch: 2/50-Batch: 1492/1875--D.loss:0.1515,G.loss:0.6043\n",
            "Epoch: 2/50-Batch: 1493/1875--D.loss:0.1539,G.loss:0.4820\n",
            "Epoch: 2/50-Batch: 1494/1875--D.loss:0.1697,G.loss:0.5627\n",
            "Epoch: 2/50-Batch: 1495/1875--D.loss:0.2116,G.loss:0.4290\n",
            "Epoch: 2/50-Batch: 1496/1875--D.loss:0.1596,G.loss:0.6030\n",
            "Epoch: 2/50-Batch: 1497/1875--D.loss:0.1508,G.loss:0.6576\n",
            "Epoch: 2/50-Batch: 1498/1875--D.loss:0.1792,G.loss:0.6039\n",
            "Epoch: 2/50-Batch: 1499/1875--D.loss:0.1301,G.loss:0.4785\n",
            "Epoch: 2/50-Batch: 1500/1875--D.loss:0.1041,G.loss:0.6555\n",
            "Epoch: 2/50-Batch: 1501/1875--D.loss:0.1597,G.loss:0.6305\n",
            "Epoch: 2/50-Batch: 1502/1875--D.loss:0.1604,G.loss:0.4202\n",
            "Epoch: 2/50-Batch: 1503/1875--D.loss:0.1486,G.loss:0.5373\n",
            "Epoch: 2/50-Batch: 1504/1875--D.loss:0.1838,G.loss:0.4673\n",
            "Epoch: 2/50-Batch: 1505/1875--D.loss:0.1504,G.loss:0.6351\n",
            "Epoch: 2/50-Batch: 1506/1875--D.loss:0.1362,G.loss:0.6047\n",
            "Epoch: 2/50-Batch: 1507/1875--D.loss:0.1374,G.loss:0.3738\n",
            "Epoch: 2/50-Batch: 1508/1875--D.loss:0.1442,G.loss:0.7351\n",
            "Epoch: 2/50-Batch: 1509/1875--D.loss:0.1879,G.loss:0.3933\n",
            "Epoch: 2/50-Batch: 1510/1875--D.loss:0.2051,G.loss:0.7026\n",
            "Epoch: 2/50-Batch: 1511/1875--D.loss:0.1754,G.loss:0.3277\n",
            "Epoch: 2/50-Batch: 1512/1875--D.loss:0.1397,G.loss:0.7217\n",
            "Epoch: 2/50-Batch: 1513/1875--D.loss:0.1624,G.loss:0.5286\n",
            "Epoch: 2/50-Batch: 1514/1875--D.loss:0.1367,G.loss:0.4174\n",
            "Epoch: 2/50-Batch: 1515/1875--D.loss:0.1545,G.loss:0.7336\n",
            "Epoch: 2/50-Batch: 1516/1875--D.loss:0.1836,G.loss:0.2804\n",
            "Epoch: 2/50-Batch: 1517/1875--D.loss:0.1769,G.loss:0.7613\n",
            "Epoch: 2/50-Batch: 1518/1875--D.loss:0.2223,G.loss:0.2735\n",
            "Epoch: 2/50-Batch: 1519/1875--D.loss:0.2161,G.loss:0.7559\n",
            "Epoch: 2/50-Batch: 1520/1875--D.loss:0.1788,G.loss:0.3476\n",
            "Epoch: 2/50-Batch: 1521/1875--D.loss:0.1557,G.loss:0.5061\n",
            "Epoch: 2/50-Batch: 1522/1875--D.loss:0.1605,G.loss:0.7717\n",
            "Epoch: 2/50-Batch: 1523/1875--D.loss:0.1802,G.loss:0.4064\n",
            "Epoch: 2/50-Batch: 1524/1875--D.loss:0.1419,G.loss:0.4446\n",
            "Epoch: 2/50-Batch: 1525/1875--D.loss:0.1573,G.loss:0.5398\n",
            "Epoch: 2/50-Batch: 1526/1875--D.loss:0.1596,G.loss:0.3795\n",
            "Epoch: 2/50-Batch: 1527/1875--D.loss:0.1260,G.loss:0.6386\n",
            "Epoch: 2/50-Batch: 1528/1875--D.loss:0.1880,G.loss:0.7457\n",
            "Epoch: 2/50-Batch: 1529/1875--D.loss:0.2084,G.loss:0.2688\n",
            "Epoch: 2/50-Batch: 1530/1875--D.loss:0.1225,G.loss:0.6166\n",
            "Epoch: 2/50-Batch: 1531/1875--D.loss:0.1733,G.loss:0.5969\n",
            "Epoch: 2/50-Batch: 1532/1875--D.loss:0.1499,G.loss:0.3639\n",
            "Epoch: 2/50-Batch: 1533/1875--D.loss:0.1779,G.loss:0.5637\n",
            "Epoch: 2/50-Batch: 1534/1875--D.loss:0.1401,G.loss:0.5775\n",
            "Epoch: 2/50-Batch: 1535/1875--D.loss:0.1635,G.loss:0.4433\n",
            "Epoch: 2/50-Batch: 1536/1875--D.loss:0.1376,G.loss:0.5251\n",
            "Epoch: 2/50-Batch: 1537/1875--D.loss:0.1579,G.loss:0.6637\n",
            "Epoch: 2/50-Batch: 1538/1875--D.loss:0.1581,G.loss:0.3769\n",
            "Epoch: 2/50-Batch: 1539/1875--D.loss:0.1730,G.loss:0.6741\n",
            "Epoch: 2/50-Batch: 1540/1875--D.loss:0.1743,G.loss:0.3965\n",
            "Epoch: 2/50-Batch: 1541/1875--D.loss:0.1582,G.loss:0.5385\n",
            "Epoch: 2/50-Batch: 1542/1875--D.loss:0.1871,G.loss:0.6136\n",
            "Epoch: 2/50-Batch: 1543/1875--D.loss:0.1865,G.loss:0.3382\n",
            "Epoch: 2/50-Batch: 1544/1875--D.loss:0.2125,G.loss:0.5652\n",
            "Epoch: 2/50-Batch: 1545/1875--D.loss:0.1470,G.loss:0.4850\n",
            "Epoch: 2/50-Batch: 1546/1875--D.loss:0.1233,G.loss:0.4977\n",
            "Epoch: 2/50-Batch: 1547/1875--D.loss:0.1753,G.loss:0.5571\n",
            "Epoch: 2/50-Batch: 1548/1875--D.loss:0.1648,G.loss:0.3129\n",
            "Epoch: 2/50-Batch: 1549/1875--D.loss:0.1932,G.loss:0.5700\n",
            "Epoch: 2/50-Batch: 1550/1875--D.loss:0.1313,G.loss:0.3439\n",
            "Epoch: 2/50-Batch: 1551/1875--D.loss:0.1573,G.loss:0.6740\n",
            "Epoch: 2/50-Batch: 1552/1875--D.loss:0.1722,G.loss:0.3713\n",
            "Epoch: 2/50-Batch: 1553/1875--D.loss:0.1734,G.loss:0.4376\n",
            "Epoch: 2/50-Batch: 1554/1875--D.loss:0.1469,G.loss:0.4190\n",
            "Epoch: 2/50-Batch: 1555/1875--D.loss:0.1238,G.loss:0.5159\n",
            "Epoch: 2/50-Batch: 1556/1875--D.loss:0.1737,G.loss:0.6202\n",
            "Epoch: 2/50-Batch: 1557/1875--D.loss:0.1601,G.loss:0.4042\n",
            "Epoch: 2/50-Batch: 1558/1875--D.loss:0.1381,G.loss:0.5201\n",
            "Epoch: 2/50-Batch: 1559/1875--D.loss:0.1781,G.loss:0.6970\n",
            "Epoch: 2/50-Batch: 1560/1875--D.loss:0.1887,G.loss:0.3735\n",
            "Epoch: 2/50-Batch: 1561/1875--D.loss:0.1831,G.loss:0.4948\n",
            "Epoch: 2/50-Batch: 1562/1875--D.loss:0.1839,G.loss:0.3909\n",
            "Epoch: 2/50-Batch: 1563/1875--D.loss:0.1588,G.loss:0.4410\n",
            "Epoch: 2/50-Batch: 1564/1875--D.loss:0.1328,G.loss:0.7479\n",
            "Epoch: 2/50-Batch: 1565/1875--D.loss:0.1478,G.loss:0.4171\n",
            "Epoch: 2/50-Batch: 1566/1875--D.loss:0.1530,G.loss:0.4656\n",
            "Epoch: 2/50-Batch: 1567/1875--D.loss:0.1781,G.loss:0.6508\n",
            "Epoch: 2/50-Batch: 1568/1875--D.loss:0.1607,G.loss:0.3723\n",
            "Epoch: 2/50-Batch: 1569/1875--D.loss:0.1207,G.loss:0.6397\n",
            "Epoch: 2/50-Batch: 1570/1875--D.loss:0.1732,G.loss:0.6095\n",
            "Epoch: 2/50-Batch: 1571/1875--D.loss:0.1472,G.loss:0.3085\n",
            "Epoch: 2/50-Batch: 1572/1875--D.loss:0.1550,G.loss:0.6467\n",
            "Epoch: 2/50-Batch: 1573/1875--D.loss:0.1508,G.loss:0.6576\n",
            "Epoch: 2/50-Batch: 1574/1875--D.loss:0.1568,G.loss:0.4687\n",
            "Epoch: 2/50-Batch: 1575/1875--D.loss:0.1671,G.loss:0.3863\n",
            "Epoch: 2/50-Batch: 1576/1875--D.loss:0.1687,G.loss:0.5730\n",
            "Epoch: 2/50-Batch: 1577/1875--D.loss:0.1601,G.loss:0.5339\n",
            "Epoch: 2/50-Batch: 1578/1875--D.loss:0.1773,G.loss:0.3290\n",
            "Epoch: 2/50-Batch: 1579/1875--D.loss:0.1680,G.loss:0.6997\n",
            "Epoch: 2/50-Batch: 1580/1875--D.loss:0.1683,G.loss:0.4414\n",
            "Epoch: 2/50-Batch: 1581/1875--D.loss:0.1790,G.loss:0.4019\n",
            "Epoch: 2/50-Batch: 1582/1875--D.loss:0.1713,G.loss:0.7240\n",
            "Epoch: 2/50-Batch: 1583/1875--D.loss:0.1744,G.loss:0.4018\n",
            "Epoch: 2/50-Batch: 1584/1875--D.loss:0.1692,G.loss:0.5720\n",
            "Epoch: 2/50-Batch: 1585/1875--D.loss:0.1845,G.loss:0.4989\n",
            "Epoch: 2/50-Batch: 1586/1875--D.loss:0.1510,G.loss:0.4506\n",
            "Epoch: 2/50-Batch: 1587/1875--D.loss:0.1617,G.loss:0.5027\n",
            "Epoch: 2/50-Batch: 1588/1875--D.loss:0.1246,G.loss:0.4544\n",
            "Epoch: 2/50-Batch: 1589/1875--D.loss:0.1324,G.loss:0.5399\n",
            "Epoch: 2/50-Batch: 1590/1875--D.loss:0.1528,G.loss:0.7436\n",
            "Epoch: 2/50-Batch: 1591/1875--D.loss:0.1522,G.loss:0.3975\n",
            "Epoch: 2/50-Batch: 1592/1875--D.loss:0.1560,G.loss:0.5170\n",
            "Epoch: 2/50-Batch: 1593/1875--D.loss:0.1412,G.loss:0.4367\n",
            "Epoch: 2/50-Batch: 1594/1875--D.loss:0.2162,G.loss:0.5081\n",
            "Epoch: 2/50-Batch: 1595/1875--D.loss:0.1663,G.loss:0.2444\n",
            "Epoch: 2/50-Batch: 1596/1875--D.loss:0.1347,G.loss:0.8202\n",
            "Epoch: 2/50-Batch: 1597/1875--D.loss:0.2328,G.loss:0.2942\n",
            "Epoch: 2/50-Batch: 1598/1875--D.loss:0.1830,G.loss:0.6537\n",
            "Epoch: 2/50-Batch: 1599/1875--D.loss:0.1616,G.loss:0.4146\n",
            "Epoch: 2/50-Batch: 1600/1875--D.loss:0.1650,G.loss:0.3624\n",
            "Epoch: 2/50-Batch: 1601/1875--D.loss:0.1828,G.loss:0.7836\n",
            "Epoch: 2/50-Batch: 1602/1875--D.loss:0.1719,G.loss:0.2685\n",
            "Epoch: 2/50-Batch: 1603/1875--D.loss:0.1504,G.loss:0.5231\n",
            "Epoch: 2/50-Batch: 1604/1875--D.loss:0.1609,G.loss:0.6470\n",
            "Epoch: 2/50-Batch: 1605/1875--D.loss:0.1448,G.loss:0.4717\n",
            "Epoch: 2/50-Batch: 1606/1875--D.loss:0.1476,G.loss:0.3622\n",
            "Epoch: 2/50-Batch: 1607/1875--D.loss:0.1857,G.loss:0.5974\n",
            "Epoch: 2/50-Batch: 1608/1875--D.loss:0.1612,G.loss:0.4273\n",
            "Epoch: 2/50-Batch: 1609/1875--D.loss:0.1261,G.loss:0.4332\n",
            "Epoch: 2/50-Batch: 1610/1875--D.loss:0.1318,G.loss:0.6473\n",
            "Epoch: 2/50-Batch: 1611/1875--D.loss:0.1386,G.loss:0.4796\n",
            "Epoch: 2/50-Batch: 1612/1875--D.loss:0.1456,G.loss:0.5617\n",
            "Epoch: 2/50-Batch: 1613/1875--D.loss:0.1556,G.loss:0.6344\n",
            "Epoch: 2/50-Batch: 1614/1875--D.loss:0.1549,G.loss:0.4507\n",
            "Epoch: 2/50-Batch: 1615/1875--D.loss:0.1948,G.loss:0.7900\n",
            "Epoch: 2/50-Batch: 1616/1875--D.loss:0.2271,G.loss:0.1989\n",
            "Epoch: 2/50-Batch: 1617/1875--D.loss:0.1888,G.loss:0.8442\n",
            "Epoch: 2/50-Batch: 1618/1875--D.loss:0.1387,G.loss:0.4468\n",
            "Epoch: 2/50-Batch: 1619/1875--D.loss:0.1433,G.loss:0.3110\n",
            "Epoch: 2/50-Batch: 1620/1875--D.loss:0.1441,G.loss:0.4959\n",
            "Epoch: 2/50-Batch: 1621/1875--D.loss:0.1521,G.loss:0.5735\n",
            "Epoch: 2/50-Batch: 1622/1875--D.loss:0.1523,G.loss:0.3988\n",
            "Epoch: 2/50-Batch: 1623/1875--D.loss:0.1606,G.loss:0.5751\n",
            "Epoch: 2/50-Batch: 1624/1875--D.loss:0.1604,G.loss:0.4964\n",
            "Epoch: 2/50-Batch: 1625/1875--D.loss:0.1461,G.loss:0.5462\n",
            "Epoch: 2/50-Batch: 1626/1875--D.loss:0.1073,G.loss:0.6506\n",
            "Epoch: 2/50-Batch: 1627/1875--D.loss:0.1605,G.loss:0.4309\n",
            "Epoch: 2/50-Batch: 1628/1875--D.loss:0.1272,G.loss:0.5888\n",
            "Epoch: 2/50-Batch: 1629/1875--D.loss:0.1720,G.loss:0.4429\n",
            "Epoch: 2/50-Batch: 1630/1875--D.loss:0.2179,G.loss:0.7220\n",
            "Epoch: 2/50-Batch: 1631/1875--D.loss:0.2027,G.loss:0.2040\n",
            "Epoch: 2/50-Batch: 1632/1875--D.loss:0.1626,G.loss:0.5598\n",
            "Epoch: 2/50-Batch: 1633/1875--D.loss:0.1719,G.loss:0.6380\n",
            "Epoch: 2/50-Batch: 1634/1875--D.loss:0.1876,G.loss:0.2649\n",
            "Epoch: 2/50-Batch: 1635/1875--D.loss:0.1326,G.loss:0.5962\n",
            "Epoch: 2/50-Batch: 1636/1875--D.loss:0.1355,G.loss:0.7416\n",
            "Epoch: 2/50-Batch: 1637/1875--D.loss:0.1991,G.loss:0.2932\n",
            "Epoch: 2/50-Batch: 1638/1875--D.loss:0.1569,G.loss:0.4560\n",
            "Epoch: 2/50-Batch: 1639/1875--D.loss:0.1861,G.loss:0.8850\n",
            "Epoch: 2/50-Batch: 1640/1875--D.loss:0.1790,G.loss:0.2520\n",
            "Epoch: 2/50-Batch: 1641/1875--D.loss:0.1623,G.loss:0.5288\n",
            "Epoch: 2/50-Batch: 1642/1875--D.loss:0.1597,G.loss:0.6200\n",
            "Epoch: 2/50-Batch: 1643/1875--D.loss:0.1433,G.loss:0.4670\n",
            "Epoch: 2/50-Batch: 1644/1875--D.loss:0.1481,G.loss:0.4912\n",
            "Epoch: 2/50-Batch: 1645/1875--D.loss:0.1336,G.loss:0.4161\n",
            "Epoch: 2/50-Batch: 1646/1875--D.loss:0.1426,G.loss:0.6229\n",
            "Epoch: 2/50-Batch: 1647/1875--D.loss:0.1367,G.loss:0.4550\n",
            "Epoch: 2/50-Batch: 1648/1875--D.loss:0.1568,G.loss:0.4490\n",
            "Epoch: 2/50-Batch: 1649/1875--D.loss:0.1552,G.loss:0.6816\n",
            "Epoch: 2/50-Batch: 1650/1875--D.loss:0.1636,G.loss:0.3859\n",
            "Epoch: 2/50-Batch: 1651/1875--D.loss:0.1569,G.loss:0.6533\n",
            "Epoch: 2/50-Batch: 1652/1875--D.loss:0.1426,G.loss:0.4205\n",
            "Epoch: 2/50-Batch: 1653/1875--D.loss:0.1675,G.loss:0.5764\n",
            "Epoch: 2/50-Batch: 1654/1875--D.loss:0.1522,G.loss:0.4553\n",
            "Epoch: 2/50-Batch: 1655/1875--D.loss:0.1495,G.loss:0.4561\n",
            "Epoch: 2/50-Batch: 1656/1875--D.loss:0.1750,G.loss:0.5446\n",
            "Epoch: 2/50-Batch: 1657/1875--D.loss:0.1272,G.loss:0.5928\n",
            "Epoch: 2/50-Batch: 1658/1875--D.loss:0.1687,G.loss:0.4989\n",
            "Epoch: 2/50-Batch: 1659/1875--D.loss:0.1554,G.loss:0.4365\n",
            "Epoch: 2/50-Batch: 1660/1875--D.loss:0.1505,G.loss:0.4253\n",
            "Epoch: 2/50-Batch: 1661/1875--D.loss:0.1499,G.loss:0.8153\n",
            "Epoch: 2/50-Batch: 1662/1875--D.loss:0.2353,G.loss:0.2504\n",
            "Epoch: 2/50-Batch: 1663/1875--D.loss:0.2145,G.loss:0.9478\n",
            "Epoch: 2/50-Batch: 1664/1875--D.loss:0.2120,G.loss:0.2783\n",
            "Epoch: 2/50-Batch: 1665/1875--D.loss:0.1730,G.loss:0.4515\n",
            "Epoch: 2/50-Batch: 1666/1875--D.loss:0.1952,G.loss:0.5204\n",
            "Epoch: 2/50-Batch: 1667/1875--D.loss:0.1622,G.loss:0.3405\n",
            "Epoch: 2/50-Batch: 1668/1875--D.loss:0.1976,G.loss:0.4530\n",
            "Epoch: 2/50-Batch: 1669/1875--D.loss:0.1613,G.loss:0.4754\n",
            "Epoch: 2/50-Batch: 1670/1875--D.loss:0.1528,G.loss:0.3744\n",
            "Epoch: 2/50-Batch: 1671/1875--D.loss:0.1427,G.loss:0.5487\n",
            "Epoch: 2/50-Batch: 1672/1875--D.loss:0.2223,G.loss:0.6111\n",
            "Epoch: 2/50-Batch: 1673/1875--D.loss:0.1860,G.loss:0.2445\n",
            "Epoch: 2/50-Batch: 1674/1875--D.loss:0.1516,G.loss:0.7043\n",
            "Epoch: 2/50-Batch: 1675/1875--D.loss:0.1304,G.loss:0.5485\n",
            "Epoch: 2/50-Batch: 1676/1875--D.loss:0.1617,G.loss:0.3321\n",
            "Epoch: 2/50-Batch: 1677/1875--D.loss:0.1404,G.loss:0.4873\n",
            "Epoch: 2/50-Batch: 1678/1875--D.loss:0.1541,G.loss:0.4942\n",
            "Epoch: 2/50-Batch: 1679/1875--D.loss:0.1535,G.loss:0.4691\n",
            "Epoch: 2/50-Batch: 1680/1875--D.loss:0.1486,G.loss:0.4627\n",
            "Epoch: 2/50-Batch: 1681/1875--D.loss:0.1631,G.loss:0.4313\n",
            "Epoch: 2/50-Batch: 1682/1875--D.loss:0.1181,G.loss:0.7030\n",
            "Epoch: 2/50-Batch: 1683/1875--D.loss:0.1310,G.loss:0.4541\n",
            "Epoch: 2/50-Batch: 1684/1875--D.loss:0.1317,G.loss:0.4914\n",
            "Epoch: 2/50-Batch: 1685/1875--D.loss:0.1987,G.loss:0.5479\n",
            "Epoch: 2/50-Batch: 1686/1875--D.loss:0.1482,G.loss:0.5241\n",
            "Epoch: 2/50-Batch: 1687/1875--D.loss:0.2065,G.loss:0.3690\n",
            "Epoch: 2/50-Batch: 1688/1875--D.loss:0.1509,G.loss:0.5861\n",
            "Epoch: 2/50-Batch: 1689/1875--D.loss:0.1612,G.loss:0.5289\n",
            "Epoch: 2/50-Batch: 1690/1875--D.loss:0.1314,G.loss:0.5461\n",
            "Epoch: 2/50-Batch: 1691/1875--D.loss:0.1469,G.loss:0.5579\n",
            "Epoch: 2/50-Batch: 1692/1875--D.loss:0.1363,G.loss:0.5208\n",
            "Epoch: 2/50-Batch: 1693/1875--D.loss:0.1483,G.loss:0.4869\n",
            "Epoch: 2/50-Batch: 1694/1875--D.loss:0.1305,G.loss:0.5421\n",
            "Epoch: 2/50-Batch: 1695/1875--D.loss:0.1895,G.loss:0.6000\n",
            "Epoch: 2/50-Batch: 1696/1875--D.loss:0.2102,G.loss:0.1952\n",
            "Epoch: 2/50-Batch: 1697/1875--D.loss:0.2676,G.loss:1.0035\n",
            "Epoch: 2/50-Batch: 1698/1875--D.loss:0.2883,G.loss:0.1707\n",
            "Epoch: 2/50-Batch: 1699/1875--D.loss:0.1759,G.loss:0.5033\n",
            "Epoch: 2/50-Batch: 1700/1875--D.loss:0.1815,G.loss:0.5780\n",
            "Epoch: 2/50-Batch: 1701/1875--D.loss:0.1513,G.loss:0.3738\n",
            "Epoch: 2/50-Batch: 1702/1875--D.loss:0.1634,G.loss:0.4765\n",
            "Epoch: 2/50-Batch: 1703/1875--D.loss:0.1323,G.loss:0.5518\n",
            "Epoch: 2/50-Batch: 1704/1875--D.loss:0.1731,G.loss:0.4369\n",
            "Epoch: 2/50-Batch: 1705/1875--D.loss:0.1287,G.loss:0.4532\n",
            "Epoch: 2/50-Batch: 1706/1875--D.loss:0.1332,G.loss:0.5925\n",
            "Epoch: 2/50-Batch: 1707/1875--D.loss:0.1586,G.loss:0.5878\n",
            "Epoch: 2/50-Batch: 1708/1875--D.loss:0.1575,G.loss:0.3633\n",
            "Epoch: 2/50-Batch: 1709/1875--D.loss:0.1488,G.loss:0.5470\n",
            "Epoch: 2/50-Batch: 1710/1875--D.loss:0.1691,G.loss:0.5208\n",
            "Epoch: 2/50-Batch: 1711/1875--D.loss:0.1216,G.loss:0.3896\n",
            "Epoch: 2/50-Batch: 1712/1875--D.loss:0.1787,G.loss:0.7103\n",
            "Epoch: 2/50-Batch: 1713/1875--D.loss:0.1379,G.loss:0.4570\n",
            "Epoch: 2/50-Batch: 1714/1875--D.loss:0.1458,G.loss:0.5643\n",
            "Epoch: 2/50-Batch: 1715/1875--D.loss:0.1561,G.loss:0.4902\n",
            "Epoch: 2/50-Batch: 1716/1875--D.loss:0.1609,G.loss:0.3941\n",
            "Epoch: 2/50-Batch: 1717/1875--D.loss:0.1264,G.loss:0.4414\n",
            "Epoch: 2/50-Batch: 1718/1875--D.loss:0.1423,G.loss:0.6118\n",
            "Epoch: 2/50-Batch: 1719/1875--D.loss:0.1637,G.loss:0.4622\n",
            "Epoch: 2/50-Batch: 1720/1875--D.loss:0.1586,G.loss:0.4460\n",
            "Epoch: 2/50-Batch: 1721/1875--D.loss:0.1607,G.loss:0.4737\n",
            "Epoch: 2/50-Batch: 1722/1875--D.loss:0.1750,G.loss:0.3753\n",
            "Epoch: 2/50-Batch: 1723/1875--D.loss:0.1608,G.loss:0.7310\n",
            "Epoch: 2/50-Batch: 1724/1875--D.loss:0.1492,G.loss:0.3266\n",
            "Epoch: 2/50-Batch: 1725/1875--D.loss:0.1497,G.loss:0.5100\n",
            "Epoch: 2/50-Batch: 1726/1875--D.loss:0.1268,G.loss:0.5517\n",
            "Epoch: 2/50-Batch: 1727/1875--D.loss:0.1439,G.loss:0.6797\n",
            "Epoch: 2/50-Batch: 1728/1875--D.loss:0.1608,G.loss:0.3122\n",
            "Epoch: 2/50-Batch: 1729/1875--D.loss:0.1532,G.loss:0.5433\n",
            "Epoch: 2/50-Batch: 1730/1875--D.loss:0.1476,G.loss:0.5456\n",
            "Epoch: 2/50-Batch: 1731/1875--D.loss:0.1518,G.loss:0.4460\n",
            "Epoch: 2/50-Batch: 1732/1875--D.loss:0.1361,G.loss:0.6309\n",
            "Epoch: 2/50-Batch: 1733/1875--D.loss:0.1649,G.loss:0.3230\n",
            "Epoch: 2/50-Batch: 1734/1875--D.loss:0.1449,G.loss:0.7361\n",
            "Epoch: 2/50-Batch: 1735/1875--D.loss:0.1593,G.loss:0.3664\n",
            "Epoch: 2/50-Batch: 1736/1875--D.loss:0.1353,G.loss:0.3986\n",
            "Epoch: 2/50-Batch: 1737/1875--D.loss:0.1852,G.loss:0.8539\n",
            "Epoch: 2/50-Batch: 1738/1875--D.loss:0.1659,G.loss:0.3444\n",
            "Epoch: 2/50-Batch: 1739/1875--D.loss:0.1782,G.loss:0.6154\n",
            "Epoch: 2/50-Batch: 1740/1875--D.loss:0.1514,G.loss:0.5248\n",
            "Epoch: 2/50-Batch: 1741/1875--D.loss:0.1642,G.loss:0.4069\n",
            "Epoch: 2/50-Batch: 1742/1875--D.loss:0.1823,G.loss:0.4932\n",
            "Epoch: 2/50-Batch: 1743/1875--D.loss:0.1588,G.loss:0.5384\n",
            "Epoch: 2/50-Batch: 1744/1875--D.loss:0.1310,G.loss:0.4747\n",
            "Epoch: 2/50-Batch: 1745/1875--D.loss:0.1526,G.loss:0.4725\n",
            "Epoch: 2/50-Batch: 1746/1875--D.loss:0.1709,G.loss:0.4147\n",
            "Epoch: 2/50-Batch: 1747/1875--D.loss:0.1762,G.loss:0.5384\n",
            "Epoch: 2/50-Batch: 1748/1875--D.loss:0.1536,G.loss:0.5040\n",
            "Epoch: 2/50-Batch: 1749/1875--D.loss:0.1448,G.loss:0.4934\n",
            "Epoch: 2/50-Batch: 1750/1875--D.loss:0.1802,G.loss:0.5782\n",
            "Epoch: 2/50-Batch: 1751/1875--D.loss:0.1548,G.loss:0.3696\n",
            "Epoch: 2/50-Batch: 1752/1875--D.loss:0.2487,G.loss:0.7897\n",
            "Epoch: 2/50-Batch: 1753/1875--D.loss:0.3515,G.loss:0.0944\n",
            "Epoch: 2/50-Batch: 1754/1875--D.loss:0.1916,G.loss:0.7824\n",
            "Epoch: 2/50-Batch: 1755/1875--D.loss:0.1649,G.loss:0.5524\n",
            "Epoch: 2/50-Batch: 1756/1875--D.loss:0.1739,G.loss:0.3727\n",
            "Epoch: 2/50-Batch: 1757/1875--D.loss:0.1423,G.loss:0.5199\n",
            "Epoch: 2/50-Batch: 1758/1875--D.loss:0.1715,G.loss:0.7943\n",
            "Epoch: 2/50-Batch: 1759/1875--D.loss:0.1512,G.loss:0.4020\n",
            "Epoch: 2/50-Batch: 1760/1875--D.loss:0.1521,G.loss:0.4434\n",
            "Epoch: 2/50-Batch: 1761/1875--D.loss:0.1580,G.loss:0.5258\n",
            "Epoch: 2/50-Batch: 1762/1875--D.loss:0.1237,G.loss:0.5317\n",
            "Epoch: 2/50-Batch: 1763/1875--D.loss:0.1449,G.loss:0.4718\n",
            "Epoch: 2/50-Batch: 1764/1875--D.loss:0.1972,G.loss:0.5089\n",
            "Epoch: 2/50-Batch: 1765/1875--D.loss:0.1530,G.loss:0.4589\n",
            "Epoch: 2/50-Batch: 1766/1875--D.loss:0.1675,G.loss:0.6034\n",
            "Epoch: 2/50-Batch: 1767/1875--D.loss:0.1399,G.loss:0.5590\n",
            "Epoch: 2/50-Batch: 1768/1875--D.loss:0.1535,G.loss:0.5302\n",
            "Epoch: 2/50-Batch: 1769/1875--D.loss:0.1361,G.loss:0.5645\n",
            "Epoch: 2/50-Batch: 1770/1875--D.loss:0.1596,G.loss:0.5926\n",
            "Epoch: 2/50-Batch: 1771/1875--D.loss:0.1510,G.loss:0.2813\n",
            "Epoch: 2/50-Batch: 1772/1875--D.loss:0.1312,G.loss:0.6322\n",
            "Epoch: 2/50-Batch: 1773/1875--D.loss:0.1490,G.loss:0.5111\n",
            "Epoch: 2/50-Batch: 1774/1875--D.loss:0.1700,G.loss:0.4784\n",
            "Epoch: 2/50-Batch: 1775/1875--D.loss:0.1591,G.loss:0.3989\n",
            "Epoch: 2/50-Batch: 1776/1875--D.loss:0.1453,G.loss:0.6339\n",
            "Epoch: 2/50-Batch: 1777/1875--D.loss:0.1647,G.loss:0.4455\n",
            "Epoch: 2/50-Batch: 1778/1875--D.loss:0.1607,G.loss:0.3904\n",
            "Epoch: 2/50-Batch: 1779/1875--D.loss:0.1473,G.loss:0.6505\n",
            "Epoch: 2/50-Batch: 1780/1875--D.loss:0.1548,G.loss:0.6310\n",
            "Epoch: 2/50-Batch: 1781/1875--D.loss:0.2268,G.loss:0.2899\n",
            "Epoch: 2/50-Batch: 1782/1875--D.loss:0.1341,G.loss:0.5743\n",
            "Epoch: 2/50-Batch: 1783/1875--D.loss:0.1334,G.loss:0.5412\n",
            "Epoch: 2/50-Batch: 1784/1875--D.loss:0.1512,G.loss:0.4668\n",
            "Epoch: 2/50-Batch: 1785/1875--D.loss:0.1440,G.loss:0.5268\n",
            "Epoch: 2/50-Batch: 1786/1875--D.loss:0.1411,G.loss:0.5680\n",
            "Epoch: 2/50-Batch: 1787/1875--D.loss:0.1562,G.loss:0.4731\n",
            "Epoch: 2/50-Batch: 1788/1875--D.loss:0.1649,G.loss:0.4020\n",
            "Epoch: 2/50-Batch: 1789/1875--D.loss:0.1123,G.loss:0.6814\n",
            "Epoch: 2/50-Batch: 1790/1875--D.loss:0.1314,G.loss:0.6930\n",
            "Epoch: 2/50-Batch: 1791/1875--D.loss:0.2164,G.loss:0.2579\n",
            "Epoch: 2/50-Batch: 1792/1875--D.loss:0.2451,G.loss:0.9747\n",
            "Epoch: 2/50-Batch: 1793/1875--D.loss:0.2087,G.loss:0.2298\n",
            "Epoch: 2/50-Batch: 1794/1875--D.loss:0.1537,G.loss:0.4496\n",
            "Epoch: 2/50-Batch: 1795/1875--D.loss:0.1150,G.loss:0.6312\n",
            "Epoch: 2/50-Batch: 1796/1875--D.loss:0.1616,G.loss:0.6128\n",
            "Epoch: 2/50-Batch: 1797/1875--D.loss:0.1301,G.loss:0.5315\n",
            "Epoch: 2/50-Batch: 1798/1875--D.loss:0.1695,G.loss:0.4004\n",
            "Epoch: 2/50-Batch: 1799/1875--D.loss:0.1393,G.loss:0.6016\n",
            "Epoch: 2/50-Batch: 1800/1875--D.loss:0.1525,G.loss:0.4916\n",
            "Epoch: 2/50-Batch: 1801/1875--D.loss:0.1444,G.loss:0.5444\n",
            "Epoch: 2/50-Batch: 1802/1875--D.loss:0.1269,G.loss:0.4088\n",
            "Epoch: 2/50-Batch: 1803/1875--D.loss:0.1724,G.loss:0.4663\n",
            "Epoch: 2/50-Batch: 1804/1875--D.loss:0.1354,G.loss:0.6671\n",
            "Epoch: 2/50-Batch: 1805/1875--D.loss:0.1306,G.loss:0.5250\n",
            "Epoch: 2/50-Batch: 1806/1875--D.loss:0.1231,G.loss:0.5630\n",
            "Epoch: 2/50-Batch: 1807/1875--D.loss:0.1212,G.loss:0.6216\n",
            "Epoch: 2/50-Batch: 1808/1875--D.loss:0.1460,G.loss:0.5036\n",
            "Epoch: 2/50-Batch: 1809/1875--D.loss:0.1419,G.loss:0.5596\n",
            "Epoch: 2/50-Batch: 1810/1875--D.loss:0.1605,G.loss:0.4726\n",
            "Epoch: 2/50-Batch: 1811/1875--D.loss:0.1341,G.loss:0.5355\n",
            "Epoch: 2/50-Batch: 1812/1875--D.loss:0.1680,G.loss:0.6335\n",
            "Epoch: 2/50-Batch: 1813/1875--D.loss:0.1772,G.loss:0.3694\n",
            "Epoch: 2/50-Batch: 1814/1875--D.loss:0.1583,G.loss:0.8074\n",
            "Epoch: 2/50-Batch: 1815/1875--D.loss:0.1548,G.loss:0.4151\n",
            "Epoch: 2/50-Batch: 1816/1875--D.loss:0.1287,G.loss:0.5076\n",
            "Epoch: 2/50-Batch: 1817/1875--D.loss:0.1199,G.loss:0.6333\n",
            "Epoch: 2/50-Batch: 1818/1875--D.loss:0.1456,G.loss:0.5473\n",
            "Epoch: 2/50-Batch: 1819/1875--D.loss:0.1827,G.loss:0.4537\n",
            "Epoch: 2/50-Batch: 1820/1875--D.loss:0.1647,G.loss:0.6146\n",
            "Epoch: 2/50-Batch: 1821/1875--D.loss:0.1948,G.loss:0.5614\n",
            "Epoch: 2/50-Batch: 1822/1875--D.loss:0.1604,G.loss:0.4138\n",
            "Epoch: 2/50-Batch: 1823/1875--D.loss:0.1160,G.loss:0.6410\n",
            "Epoch: 2/50-Batch: 1824/1875--D.loss:0.1649,G.loss:0.5662\n",
            "Epoch: 2/50-Batch: 1825/1875--D.loss:0.1364,G.loss:0.4302\n",
            "Epoch: 2/50-Batch: 1826/1875--D.loss:0.1258,G.loss:0.6351\n",
            "Epoch: 2/50-Batch: 1827/1875--D.loss:0.1212,G.loss:0.5628\n",
            "Epoch: 2/50-Batch: 1828/1875--D.loss:0.1654,G.loss:0.4124\n",
            "Epoch: 2/50-Batch: 1829/1875--D.loss:0.1466,G.loss:0.5987\n",
            "Epoch: 2/50-Batch: 1830/1875--D.loss:0.1255,G.loss:0.5145\n",
            "Epoch: 2/50-Batch: 1831/1875--D.loss:0.1748,G.loss:0.4474\n",
            "Epoch: 2/50-Batch: 1832/1875--D.loss:0.1574,G.loss:0.4765\n",
            "Epoch: 2/50-Batch: 1833/1875--D.loss:0.1699,G.loss:0.6678\n",
            "Epoch: 2/50-Batch: 1834/1875--D.loss:0.1538,G.loss:0.3173\n",
            "Epoch: 2/50-Batch: 1835/1875--D.loss:0.2452,G.loss:0.6234\n",
            "Epoch: 2/50-Batch: 1836/1875--D.loss:0.2504,G.loss:0.1830\n",
            "Epoch: 2/50-Batch: 1837/1875--D.loss:0.1473,G.loss:0.7022\n",
            "Epoch: 2/50-Batch: 1838/1875--D.loss:0.1468,G.loss:0.6005\n",
            "Epoch: 2/50-Batch: 1839/1875--D.loss:0.1987,G.loss:0.2960\n",
            "Epoch: 2/50-Batch: 1840/1875--D.loss:0.1383,G.loss:0.5471\n",
            "Epoch: 2/50-Batch: 1841/1875--D.loss:0.1552,G.loss:0.6125\n",
            "Epoch: 2/50-Batch: 1842/1875--D.loss:0.1771,G.loss:0.3095\n",
            "Epoch: 2/50-Batch: 1843/1875--D.loss:0.1328,G.loss:0.4136\n",
            "Epoch: 2/50-Batch: 1844/1875--D.loss:0.1866,G.loss:0.6723\n",
            "Epoch: 2/50-Batch: 1845/1875--D.loss:0.1819,G.loss:0.3529\n",
            "Epoch: 2/50-Batch: 1846/1875--D.loss:0.1345,G.loss:0.4838\n",
            "Epoch: 2/50-Batch: 1847/1875--D.loss:0.1336,G.loss:0.5523\n",
            "Epoch: 2/50-Batch: 1848/1875--D.loss:0.1484,G.loss:0.5925\n",
            "Epoch: 2/50-Batch: 1849/1875--D.loss:0.1476,G.loss:0.3797\n",
            "Epoch: 2/50-Batch: 1850/1875--D.loss:0.1415,G.loss:0.5342\n",
            "Epoch: 2/50-Batch: 1851/1875--D.loss:0.1459,G.loss:0.5241\n",
            "Epoch: 2/50-Batch: 1852/1875--D.loss:0.1563,G.loss:0.3274\n",
            "Epoch: 2/50-Batch: 1853/1875--D.loss:0.2279,G.loss:0.8184\n",
            "Epoch: 2/50-Batch: 1854/1875--D.loss:0.1951,G.loss:0.2610\n",
            "Epoch: 2/50-Batch: 1855/1875--D.loss:0.1481,G.loss:0.7931\n",
            "Epoch: 2/50-Batch: 1856/1875--D.loss:0.1607,G.loss:0.3404\n",
            "Epoch: 2/50-Batch: 1857/1875--D.loss:0.1566,G.loss:0.3851\n",
            "Epoch: 2/50-Batch: 1858/1875--D.loss:0.1711,G.loss:0.6335\n",
            "Epoch: 2/50-Batch: 1859/1875--D.loss:0.1873,G.loss:0.3675\n",
            "Epoch: 2/50-Batch: 1860/1875--D.loss:0.1588,G.loss:0.5589\n",
            "Epoch: 2/50-Batch: 1861/1875--D.loss:0.1702,G.loss:0.6048\n",
            "Epoch: 2/50-Batch: 1862/1875--D.loss:0.1869,G.loss:0.3254\n",
            "Epoch: 2/50-Batch: 1863/1875--D.loss:0.2322,G.loss:0.7038\n",
            "Epoch: 2/50-Batch: 1864/1875--D.loss:0.1820,G.loss:0.2828\n",
            "Epoch: 2/50-Batch: 1865/1875--D.loss:0.1674,G.loss:0.5790\n",
            "Epoch: 2/50-Batch: 1866/1875--D.loss:0.1592,G.loss:0.6387\n",
            "Epoch: 2/50-Batch: 1867/1875--D.loss:0.1421,G.loss:0.4709\n",
            "Epoch: 2/50-Batch: 1868/1875--D.loss:0.1492,G.loss:0.4358\n",
            "Epoch: 2/50-Batch: 1869/1875--D.loss:0.1535,G.loss:0.6317\n",
            "Epoch: 2/50-Batch: 1870/1875--D.loss:0.1867,G.loss:0.5602\n",
            "Epoch: 2/50-Batch: 1871/1875--D.loss:0.1611,G.loss:0.3461\n",
            "Epoch: 2/50-Batch: 1872/1875--D.loss:0.1575,G.loss:0.4113\n",
            "Epoch: 2/50-Batch: 1873/1875--D.loss:0.1759,G.loss:0.7537\n",
            "Epoch: 2/50-Batch: 1874/1875--D.loss:0.2601,G.loss:0.1686\n",
            "Epoch: 3/50-Batch: 0/1875--D.loss:0.1548,G.loss:0.5807\n",
            "Epoch: 3/50-Batch: 1/1875--D.loss:0.1815,G.loss:0.8748\n",
            "Epoch: 3/50-Batch: 2/1875--D.loss:0.1622,G.loss:0.2737\n",
            "Epoch: 3/50-Batch: 3/1875--D.loss:0.1492,G.loss:0.3745\n",
            "Epoch: 3/50-Batch: 4/1875--D.loss:0.1910,G.loss:0.5560\n",
            "Epoch: 3/50-Batch: 5/1875--D.loss:0.1416,G.loss:0.4452\n",
            "Epoch: 3/50-Batch: 6/1875--D.loss:0.1471,G.loss:0.4594\n",
            "Epoch: 3/50-Batch: 7/1875--D.loss:0.1705,G.loss:0.4445\n",
            "Epoch: 3/50-Batch: 8/1875--D.loss:0.1585,G.loss:0.4226\n",
            "Epoch: 3/50-Batch: 9/1875--D.loss:0.1405,G.loss:0.5008\n",
            "Epoch: 3/50-Batch: 10/1875--D.loss:0.1331,G.loss:0.6259\n",
            "Epoch: 3/50-Batch: 11/1875--D.loss:0.1321,G.loss:0.3756\n",
            "Epoch: 3/50-Batch: 12/1875--D.loss:0.1525,G.loss:0.6915\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "CVFW5R-udAdT"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}